🕶️ Cool-GenAI-Fashion-Papers
🧢🕶️🥼👖👟🧳 A curated list of cool resources about GenAI-Fashion, including 📝papers, 👀workshops, 🚀companies & products, ...
Feel free to send a PR or open an issue.
The structure of the category follows fAshIon after fashion: A Report of AI in Fashion
graph LR
GenAIFashion[GenAI-Fashion]
GenAIFashion --> Overview[Overview]
GenAIFashion --> Evaluation[Evaluation]
GenAIFashion --> BasicTech[Basic Tech]
GenAIFashion --> Selling[Selling]
GenAIFashion --> Styling[Styling]
GenAIFashion --> Design[Design]
GenAIFashion --> Buying[Buying]
BasicTech --> VisionLanguage[Vision Language]
BasicTech --> Parsing[Parsing]
BasicTech --> SegmentationRecognition[Segmentation, Recognition]
BasicTech --> Detection[Detection]
BasicTech --> PoseEstimationTracking[Pose Estimation, Tracking]
Selling --> Retrieval[Retrieval]
Selling --> SellingAgent[Selling Agent]
Selling --> VideoGeneration[Video Generation]
Styling --> CompatibilityLearning[Compatibility Learning]
Styling --> OutfitRecommendation[Outfit Recommendation]
Design --> FashionDesignSynthesis[Fashion Design Synthesis]
Design --> TryOn[Try-On]
Design --> Editing[Editing]
Design --> DesignAgent[Design Agent]
Design --> 3DSynthesis[3D Synthesis]
Design --> 3DReconstruction[3D Reconstruction]
Design --> 4DSynthesis[4D Synthesis]
Buying --> TrendAnalysis[Trend Analysis]
Buying --> KnowledgeExtraction[Knowledge Extraction]
Summary developments of technology
Title |
Publication |
Paper |
Type |
Region |
A Survey of Artificial Intelligence in Fashion |
IEEE Signal Process. Mag. 2023 |
paper |
Overview |
Taiwan (China) |
AI Assisted Fashion Design: A Review |
IEEE Access 2023 |
paper |
Fashion Design |
China |
Computational Technologies for Fashion Recommendation: A Survey |
ACM Comput. Surv. 2023 |
paper |
Fashion Recommendation |
Hong Kong (China) |
A Review of Modern Fashion Recommender Systems |
ACM Comput. Surv. 2023 |
paper |
Fashion Recommendation |
Italy |
A survey on Fashion Image Retrieval |
ACM Comput. Surv. 2023 |
paper |
Fashion Retrieval |
India |
Appearance and Pose-Guided Human Generation: A Survey |
ACM Comput. Surv. 2023 |
paper |
Fashion Generation |
Hong Kong (China) |
Analytics Applications in Fashion Supply Chain Management—A Review of Literature and Practice |
IEEE Trans Eng Manag 2023 |
paper |
Fashion Supply Chain |
Germany |
Deep Learning Approaches for Fashion Knowledge Extraction From Social Media: A Review. |
IEEE Access 2022 |
paper |
Fashion Knowledge Extraction |
Italy |
Defining digital fashion: Reshaping the field via a systematic review |
Comput. Hum. Behav. 2022 |
paper |
Digital Fashion |
South Korea |
A Review of AI (Artificial Intelligence) Tools and Customer Experience in Online Fashion Retail |
Int. J. E Bus. Res. 2022 |
paper |
Fashion Retail |
India |
Fashion Meets Computer Vision: A Survey. |
ACM Comput. Surv. 2021 |
paper |
Overview |
Taiwan (China) |
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry |
Preprint 2021 |
paper |
Overview |
Iran |
fAshIon after fashion: A Report of AI in Fashion |
Preprint 2021 |
paper |
Overview |
Hong Kong(China) |
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion |
Preprint 2021 |
paper |
Overview |
China |
Fashion Recommendation Systems, Models and Methods: A Review |
Informatics 2021 |
paper |
Fashion Recommendation |
USA |
A Detailed Review of Artificial Intelligence Applied in the Fashion and Apparel Industry |
IEEE Access 2019 |
paper |
Overview |
France |
An Overview of Image Recognition and Retrieval of Clothing items |
RICE 2018 |
paper |
Fashion Retrieval |
India |
When Multimedia Meets Fashion |
IEEE MultiMedia 2018 |
paper |
Overview |
China |
Fashion Analysis: Current Techniques and Future Directions |
IEEE MultiMedia 2014 |
paper |
Overview |
Singapore |
Evaluation protocols for specific tasks
Title |
Publication |
Paper |
Link |
Region |
How Good Is Aesthetic Ability of a Fashion Model? |
CVPR 2022 |
paper |
dataset |
Hong Kong (China) |
An Evaluation of Artificial Intelligence Components in E-Commerce Fashion Platforms |
WorldCIST 2022 |
paper |
- |
Portugal |
Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion images |
CVPRW 2021 |
paper |
- |
France |
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach |
recsysXfashion 2019 |
paper |
- |
USA |
Understanding of fashion images
Model |
Title |
Publication |
Paper |
Link |
Region |
Kaleido-BERT |
Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain |
CVPR 2021 |
paper |
- |
China |
FashionCLIP |
Contrastive language and vision learning of general fashion concepts |
Scientific Reports (2022) |
paper |
code |
Canada |
FashionViL |
Fashion-Focused Vision-and-Language Representation Learning |
ECCV 2022 |
-> |
project |
UK |
FAME-ViL |
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks |
CVPR 2023 |
-> |
project |
UK |
FashionSAP |
FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training |
CVPR 2023 |
-> |
project |
China |
MVLT |
Masked Vision-language Transformer in Fashion |
MIR 2023 |
paper |
- |
China |
OpenFashionCLIP |
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data |
ICIAP 2023 |
-> |
project |
Italy |
- |
A fine-grained vision and language representation framework with graph-based fashion semantic knowledge |
CAD/Graphics 2023 |
paper |
- |
China |
Model |
Title |
Publication |
Paper |
Link |
Region |
- |
Parsing clothing in fashion photographs |
CVPR 2012 |
paper |
- |
USA |
- |
Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items |
ICCV 2013 |
paper |
- |
USA |
- |
Fashion Parsing With Weak Color-Category Labels |
TMM 2013 |
paper |
- |
Singapore |
- |
Retrieving Similar Styles to Parse Clothing |
TPAMI 2014 |
paper |
- |
Japan |
- |
Fashion Parsing with Video Context |
MM 2014 |
paper |
- |
Singapore |
- |
Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing |
TPAMI 2015 |
paper |
- |
Singapore |
- |
Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval |
TMM 2016 |
paper |
- |
China |
- |
Enhanced Reweighted MRFs for Efficient Fashion Image Parsing |
TOMM 2016 |
paper |
- |
Canada |
- |
Holistic, Instance-Level Human Parsing |
BMVC 2017 |
paper |
- |
UK |
- |
Looking at Outfit to Parse Clothing |
Preprint 2017 |
paper |
- |
Japan |
- |
Surveillance Video Parsing With Single Frame Supervision |
CVPR 2017 |
paper |
- |
China |
Look into Person |
Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark |
TPAMI 2019 |
paper |
- |
China |
SIZER |
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing |
ECCV 2020 |
paper |
project |
Germany |
- |
Hierarchical Human Parsing With Typed Part-Relation Reasoning |
CVPR 2020 |
paper |
code |
Switzerland |
- |
Fine-Grained Garment Parsing: A Body Generation Approach |
ICME 2020 |
paper |
- |
China |
SP-FEN |
Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement |
NPL 2020 |
paper |
- |
Malaysia |
- |
Describe Me If You Can! Characterized Instance-Level Human Parsing |
ICIP 2021 |
paper |
- |
France |
- |
Progressive One-shot Human Parsing |
AAAI 2021 |
paper |
- |
Sydney |
UAM-Net |
Unabridged adjacent modulation for clothing parsing |
PR 2022 |
paper |
code |
China |
- |
Feature fusion network for clothing parsing |
IJMLC 2022 |
paper |
- |
China |
CCFNet |
CCFNet: Cross-Complementary fusion network for RGB-D scene parsing of clothing images |
JVCI 2022 |
paper |
- |
China |
OMNet |
OMNet: Outfit Memory Net for clothing parsing |
IJCST 2023 |
paper |
- |
China |
Segmentation, Recognition
Model |
Title |
Publication |
Paper |
Link |
Region |
- |
Who Blocks Who: Simultaneous clothing segmentation for grouping images |
ICCV 2011 |
paper |
- |
China |
DeepFashion |
DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations |
CVPR 2016 |
paper |
- |
Hong Kong(China) |
- |
Joint Multi-Person Pose Estimation and Semantic Part Segmentation |
CVPR 2017 |
paper |
- |
USA |
Fashionpedia |
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset |
ECCV 2020 |
paper |
- |
USA |
- |
Segmentation task for fashion and apparel |
Preprint 2020 |
paper |
- |
USA |
Fashionformer |
Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition |
ECCV 2022 |
-> |
project |
China |
- |
DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition |
CVPRW 2023 |
paper |
- |
Hong Kong (China) |
Model |
Title |
Publication |
Paper |
Link |
Region |
- |
Fashion Landmark Detection in the Wild |
ECCV 2016 |
paper |
- |
Hong Kong(China) |
- |
Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks |
MM 2017 |
paper |
- |
Hong Kong (China) |
- |
Spatial-aware non-local attention for fashion landmark detection |
ICME 2019 |
paper |
- |
China |
- |
Layout-Graph Reasoning for Fashion Landmark Detection |
CVPR 2019 |
paper |
- |
China |
DeepFashion2 |
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images |
CVPR 2019 |
paper |
- |
China |
- |
A global-local embedding module for fashion landmark detection |
ICCVW 2019 |
paper |
- |
Korea |
- |
Fashion landmark detection and category classification for robotics |
ICARSC 2020 |
paper |
- |
Switzerland |
- |
Aggregation and Finetuning for Clothes Landmark Detection |
Preprint 2020 |
paper |
code |
China |
- |
Improving apparel detection with category grouping and multi-grained branches |
Multimedia Tools and Applications 2022 |
paper |
- |
USA |
CoRe |
CoRe: Color Regression for Multicolor Fashion Garments |
CVPRW 2022 |
paper |
- |
France |
Pose Estimation, Tracking
Model |
Title |
Publication |
Paper |
Link |
Region |
GarmentNets |
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion |
ICCV 2021 |
-> |
project |
USA |
GarmentTracking |
GarmentTracking: Category-Level Garment Pose Tracking |
CVPR 2023 |
-> |
project |
China |
Online selling
Model |
Title |
Publication |
Paper |
Link |
Region |
DARN |
Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network |
ICCV 2015 |
paper |
- |
Singapore |
- |
Interpretable Multimodal Retrieval for Fashion Products |
MM 2018 |
paper |
- |
Singapore |
CIRPLANT |
Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models |
ICCV 2021 |
paper |
- |
Australia |
Fashion IQ |
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback |
CVPR 2021 |
paper |
- |
USA |
MODC |
Fine-grained Fashion Representation Learning by Online Deep Clustering |
ECCV 2022 |
paper |
- |
USA |
FashionVLP |
FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback |
CVPR 2022 |
paper |
- |
USA |
EI-CLIP |
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval |
CVPR 2022 |
paper |
- |
USA |
DAtRNet |
DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval |
CVPRW 2022 |
paper |
- |
India |
UIGR |
UIGR: Unified Interactive Garment Retrieval |
CVPRW 2022 |
paper |
code |
UK |
M3-Net |
Learning Attribute and Class-Specific Representation Duet for Fine-grained Fashion Analysis |
CVPR 2023 |
paper |
- |
USA |
- |
Dynamic Network for Language-based Fashion Retrieval |
MMIR ’23 (MM 2023 workshop) |
paper |
- |
China |
Model |
Title |
Publication |
Paper |
Link |
Region |
- |
A Conversational Shopping Assistant for Online Virtual Stores |
MM 2022 |
paper |
- |
Portugal |
Fashion-GPT |
Fashion-GPT: Integrating LLMs with Fashion Retrieval System |
LGM3A '23 (MM 2023 workshop) |
paper |
- |
Singapore |
FashionVQA |
FashionVQA: A Domain-Specific Visual Question Answering System |
CVPRW 2023) |
paper |
- |
USA |
VSE |
Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding |
CVPRW 2023) |
paper |
- |
Japan |
Model |
Title |
Publication |
Paper |
Link |
Region |
wFlow |
Dressing in the Wild by Watching Dance Videos |
CVPR 2022 |
-> |
project |
China |
ClothFormer |
ClothFormer: Taming Video Virtual Try-on in All Module |
CVPR 2022 |
-> |
project |
China |
GPT4Motion |
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning |
Preprint 2023 |
-> |
project |
China |
Animate Anyone |
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation |
Preprint 2023 |
-> |
project |
China |
Personal Styling
Model |
Title |
Publication |
Paper |
Link |
Region |
FCBoost-Net |
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting |
MM 2023 |
paper |
- |
China |
Model |
Title |
Publication |
Paper |
Link |
Region |
BiHGH |
Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation |
MM 2022 |
paper |
- |
Australia |
OutfitTransformer |
OutfitTransformer: Outfit Representations for Fashion Recommendation |
CVPRW 2022 |
paper |
- |
USA |
OutfitGAN |
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits |
CVPRW 2022 |
paper |
- |
USA |
GradREC |
“Does it come in black?” CLIP-like models are zero-shot recommenders |
ECNLP 5(ACL 2022 workshop) |
paper |
code |
Milan |
CP-TransMatch |
Modeling Multi-Relational Connectivity for Personalized Fashion Matching |
MM 2023 |
paper |
- |
Hong Kong (China) |
SHIFT15M |
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts |
CVPRW 2023) |
paper |
code |
Japan |
Model |
Title |
Publication |
Paper |
Link |
Region |
TemporalUV |
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates |
CVPR 2022 |
paper |
- |
Germany |
ARMANI |
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design |
MM 2022 |
paper |
- |
China |
AI Carpet |
AI Carpet: Automatic Generation of Aesthetic Carpet Pattern |
MM 2022 |
paper |
- |
China |
Wearable ImageNet |
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation |
CVPRW 2022 |
paper |
project |
USA |
Rank in Style |
Rank in Style: A Ranking-based Approach to Find Interpretable Directions |
CVPRW 2022 |
paper |
- |
Turkey |
StyleMe |
StyleMe: Towards Intelligent Fashion Generation with Designer Style |
CHI 2023 |
paper |
code |
China |
generative.fashion |
Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration |
CHI EA 2023 |
paper |
project |
Switzerland |
AI Archive |
Generative AI for Concept Creation in Footwear Design |
INVITED-TALK (SIGGRAPH 2023) |
paper |
- |
Germany |
UnitedHuman |
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation |
ICCV 2023 |
-> |
project |
China |
FreeDoM |
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model |
ICCV 2023 |
paper |
code |
China |
BoxDiff |
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion |
ICCV 2023 |
paper |
code |
Singapore |
ControlNet |
Adding Conditional Control to Text-to-Image Diffusion Models |
ICCV2023 |
paper |
code |
USA |
PromptStyler |
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization |
ICCV 2023 |
-> |
project |
South Korea |
Diffusart |
Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models |
CVPRW 2023 |
paper |
- |
France |
Gatha |
Gatha: Relational Loss for enhancing text-based style transfer |
CVPRW 2023 |
paper |
- |
USA |
DiffFashion |
Image Reference-guided Fashion Design with Structure-aware Transfer by Diffusion Models |
CVPRW 2023 |
paper |
code |
China |
VectorFusion |
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models |
CVPR 2023 |
-> |
project, unofficial code |
USA |
DiffSketcher |
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models |
NIPS 2023 |
-> |
project |
China |
SGDiff |
SGDiff: A Style Guided Diffusion Model for Fashion Synthesis |
MM 2023 |
paper |
code |
Hong Kong (China) |
FashionDiff |
FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design |
MM 2023 |
paper |
- |
China |
InspirNET |
InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation |
MM 2023 |
paper |
- |
China |
- |
Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements |
MM 2023 |
paper |
- |
China |
- |
Normal-guided Garment UV Prediction for Human Re-texturing |
CVPR 2023 |
paper |
- |
USA |
Model |
Title |
Publication |
Paper |
Link |
Region |
- |
A High-resolution Image-based Virtual Try-on System in Taobao E-commerce Scenario |
MM 2022 |
paper |
- |
China |
GT-MUST |
GT-MUST: Gated Try-on by Learning the Mannequin-Specific Transformation |
MM 2022 |
paper |
- |
China |
PL-VTON |
Progressive Limb-Aware Virtual Try-On |
MM 2022 |
paper |
- |
China |
Dress Code |
Dress Code: High-Resolution Multi-Category Virtual Try-On |
CVPRW 2022 |
paper |
project |
Italy |
DBCT |
Dual-Branch Collaborative Transformer for Virtual Try-On |
CVPRW 2022 |
paper |
- |
Italy |
DP-VTON |
Towards Detailed Characteristic-Preserving Virtual Try-On |
CVPRW 2022 |
paper |
- |
South Korea |
Flow-Style-VTON |
Style-Based Global Appearance Flow for Virtual Try-On |
CVPR 2022 |
-> |
project |
UK |
RT-VTON |
Full-Range Virtual Try-On with Recurrent Tri-Level Transform |
CVPR 2022 |
-> |
project |
China, Singapore |
DGP |
Weakly Supervised High-Fidelity Clothing Model Generation |
CVPR 2022 |
paper |
- |
China |
FashionTex |
FashionTex: Controllable Virtual Try-on with Text and Texture. |
SIGGRAPH 2023 |
paper |
code |
China |
FreqHPT |
FreqHPT: Frequency-aware attention and flow fusion for Human Pose Transfer |
CVPRW 2023) |
paper |
- |
China |
SAL-VTON |
Linking Garment with Person via Semantically Associated Landmarks for Virtual Try-On |
CVPR 2023 |
paper |
project |
China |
TryOnDiffusion |
TryOnDiffusion: A Tale of Two UNets |
CVPR 2023 |
-> |
project |
USA |
GP-VTON |
GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning |
CVPR 2023 |
-> |
project |
China |
LaDI-VTON |
LaDI-VTON:Latent Diffusion Textual-Inversion Enhanced Virtual Try-On |
MM 2023 |
paper |
code |
Italy |
DCI-VTON |
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow |
MM 2023 |
paper |
code |
China |
PG-VTON |
PG-VTON: A Novel Image-Based Virtual Try-On Method via Progressive Inference Paradigm |
TMM 2023 |
paper |
code |
China |
DOC-VTON |
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup |
TMM 2023 |
paper |
code |
China |
StableVITON |
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On |
Preprint 2023 |
-> |
project |
South Korea |
Model |
Title |
Publication |
Paper |
Link |
Region |
SketchEdit |
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches |
CVPR 2022 |
-> |
project |
USA |
Patternshop |
Patternshop: Editing Point Patterns by Image Manipulation |
SIGGRAPH 2023 |
-> |
project |
Germany |
MGD |
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing |
ICCV 2023 |
paper |
code |
Italy |
EditAnything |
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation |
MM 2023 |
paper |
project |
China |
Model |
Title |
Publication |
Paper |
Link |
Region |
FashionMatrix |
Fashion Matrix: Editing Photos by Just Talking |
Preprint 2023 |
-> |
project |
China |
Model |
Title |
Publication |
Paper |
Link |
Region |
ReFU |
A Repulsive Force Unit for Garment Collision Handling in Neural Networks |
ECCV 2022 |
-> |
project |
USA |
SNUG |
SNUG: Self-Supervised Neural Dynamic Garments |
CVPR 2022 |
-> |
project |
Spain |
ICON |
ICON: Implicit Clothed humans Obtained from Normals |
CVPR 2022 |
-> |
project |
Germany |
True Seams |
True Seams:Modeling Seams in Digital Garments |
SIGGRAPH 2022 |
-> |
project |
USA |
VirtualBones |
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks |
SIGGRAPH 2022 |
-> |
project |
China |
HairStep |
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling |
CVPR 2023 |
-> |
project |
China |
ECON |
ECON: Explicit Clothed humans Optimized via Normal integration |
CVPR 2023 |
-> |
project |
Germany |
DrapeNet |
DrapeNet: Garment Generation and Self-Supervised Draping |
CVPR 2023 |
-> |
project |
Switzerland |
AnchorDEF |
Learning Anchor Transformations for 3D Garment Animation |
CVPR 2023 |
-> |
project |
China |
CloSET |
CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition |
CVPR 2023 |
-> |
project |
China |
- |
Clothed Human Performance Capture with a Double-layer Neural Radiance Fields |
CVPR 2023 |
paper |
- |
China |
HOOD |
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics |
CVPR 2023 |
-> |
project |
Switzerland |
xCloth |
xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image |
MM 2023 |
paper |
- |
India |
AvatarFusion |
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion |
MM 2023 |
paper |
project |
China |
Control3D |
Control3D: Towards Controllable Text-to-3D Generation |
MM 2023 |
paper |
- |
China |
SynBody |
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling |
ICCV 2023 |
-> |
project |
China |
EVA3D |
EVA3D: Compositional 3D Human Generation from 2D Image Collections |
ICLR 2023 |
-> |
project |
Singapore |
En3D |
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data |
Preprint 2024 |
-> |
project |
China |
Model |
Title |
Publication |
Paper |
Link |
Region |
CrossHuman |
CrossHuman: Learning Cross-guidance from Multi-frame Images for Human Reconstruction |
MM 2022 |
paper |
- |
China |
ReEF |
Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images |
CVPR 2022 |
-> |
project |
China |
PHORHUM |
Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing |
CVPR 2022 |
-> |
project |
USA |
NeuralTailor |
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments |
SIGGRAPH 2022 |
paper |
- |
South Korea |
SewFormer |
Towards Garment Sewing Pattern Reconstruction from a Single Image |
TOG (SIGGRAPH Asia 2023) |
-> |
project |
Singapore |
GTA |
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction |
NIPS 2023 |
-> |
project |
China |
SeSDF |
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction |
CVPR 2023 |
paper |
- |
Hong Kong (China) |
SoY |
Shape of You: Precise 3D shape estimations for diverse body types |
CVPRW 2023) |
paper |
- |
USA |
KBody |
KBody: Balanced monocular whole-body estimation |
CVPRW 2023) |
paper |
project |
USA |
CAR |
High-Fidelity Clothed Avatar Reconstruction from a Single Image |
CVPR 2023 |
-> |
project |
China |
DIFu |
DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction |
CVPR 2023 |
-> |
project |
South Korea |
NeuralUDF |
NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies |
CVPR 2023 |
-> |
project |
Hong Kong (China) |
REC-MV |
REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos |
CVPR 2023 |
-> |
project |
China |
Get3DHuman |
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors |
ICCV2023 |
-> |
project |
China |
Garment3DGen |
Garment3DGen: 3D Garment Stylization and Texture Generation |
arXiv 2024 |
-> |
project |
USA |
Model |
Title |
Publication |
Paper |
Link |
Region |
Garment4D |
Garment4D: Garment Reconstruction from Point Cloud Sequences |
NIPS 2021 |
-> |
project |
Singapore |
CLOTH4D |
CLOTH4D: A Dataset for Clothed Human Reconstruction |
CVPR 2023 |
-> |
project |
Hong Kong (China) |
WordRobe |
WordRobe: Text-Guided Generation of Textured 3D Garments |
arXiv 2024 |
paper |
project |
India |
Model |
Title |
Publication |
Paper |
Link |
Region |
POP |
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion |
ECCV 2022 |
-> |
project |
Italy |
Visuelle 2.0 |
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark |
CVPRW 2022 |
paper |
project |
Italy |
Knowledge Extraction
Model |
Title |
Publication |
Paper |
Link |
Region |
- |
Describing Clothing by Semantic Attributes |
ECCV 2012 |
paper |
- |
USA |
- |
Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media |
MM 2019 |
paper |
- |
Singapore |
- |
Multimodal Fashion Knowledge Extraction as Captioning |
SIGIR-AP 2023 |
paper |
- |
Hong Kong(China) |
- Computer Vision for Fashion, Art, and Design (CVPR Workshop): CVFAD 2023, CVFAD 2022
- Multimedia Computing towards Fashion Recommendation (ACM MM Workshop): MCFR 2022
- Machine Learning for Creativity and Design (NeurIPS Workshop): ML4CD 2023, ML4CD 2022
- Creative AI Across Modalities (AAAI Workshop): creativeAI 2023
- recsysXfashion (RecSys Workshop): recsysXfashion 2022, recsysXfashion 2021
Other FashionAI Resources
- Fashion Datasets
- Cool Fashion Papers(Before 2022)
- awesome-fashion-ai
- AI4Design Survey
- image-to-image-papers
- Awesome Virtual Try-on (VTON) Research
- Awesome-pose-transfer
- Human Body Reconstruction
- The Roadmap of Generative AI
- awesome-Ai-tools
- LLM Survey
- LLM-Agent-Paper-List
- Awesome-diffusion-model-for-image-processing
- Multimodal Image Synthesis and Editing: The Generative AI Era
- GAN-Inversion Survey
- A Survey on Deep Generative 3D-aware Image Synthesis
- Awesome 3D Generation
- Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
- Awesome GenAI Tech