A Collection of Papers and Codes in AAAI2023 related to Low-Level Vision
[Completed] If you find some missing papers or typos, feel free to pull issues or requests.
- Awesome-AAAI2022-Low-Level-Vision
- Awesome-NeurIPS2023~2021-Low-Level-Vision
- Awesome-ICCV2023/2021-Low-Level-Vision
- Awesome-CVPR2023/2022-Low-Level-Vision
- Awesome-ECCV2022-Low-Level-Vision
- Awesome-CVPR2021/2020-Low-Level-Vision
- Awesome-ECCV2020-Low-Level-Vision
Memory-Oriented Structural Pruning for Efficient Image Restoration
ShadowFormer: Global Context Helps Shadow Removal
- Paper: https://arxiv.org/abs/2302.01650
- Code: https://github.com/GuoLanqing/ShadowFormer
- Tags: Shadow Removal
DENet: Disentangled Embedding Network for Visible Watermark Removal
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25337
- Code: https://github.com/lianchengmingjue/DENet
- Tags: Watermark Removal
Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25409
- Code: https://github.com/xiaogang00/DP3DF
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
Adaptive Dynamic Filtering Network for Image Denoising
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25245
- Tags: Self-Supervised
Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25291
- Code: https://github.com/CGLab-GIST/RIDFnF
Spatial-Spectral Transformer for Hyperspectral Image Denoising
- Paper: https://arxiv.org/abs/2211.14090
- Code: https://github.com/MyuLi/SST
- Tags: Hyperspectral
Unsupervised Deep Video Denoising with Untrained Network
Dual-Domain Attention for Image Deblurring
Real-World Deep Local Motion Deblurring
Learning Single Image Defocus Deblurring with Misaligned Training Pairs
Intriguing Findings of Frequency Selection for Image Deblurring
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25111
- Code: https://github.com/cschenxiang/HCT-FFN
Improving Dynamic HDR Imaging with Fusion Transformer
Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25404
- Code: https://github.com/hanna-xu/MEF-CL [404]
SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion
Polarization-Aware Low-Light Image Enhancement
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25486
- Code: https://github.com/fourson/Polarization-Aware-Low-Light-Image-Enhancement
Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25479
- Code: https://github.com/zheng980629/SDAG
Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
Low-Light Video Enhancement with Synthetic Event Guidance
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25257
- Code: https://gitee.com/mindspore/models/tree/master/research/cv/LLVE-SEG [404]
Painterly Image Harmonization in Dual Domains
- Paper: https://arxiv.org/abs/2212.08846
- Code: https://github.com/bcmi/PHDNet-Painterly-Image-Harmonization
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
- Paper: https://arxiv.org/abs/2303.13133
- Code: https://github.com/zzw-zjgsu/Generative-Image-Inpainting
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25432
- Code: https://github.com/coconuthust/composition_styles
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
Multi-Modality Deep Network for Extreme Learned Image Compression
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
User-Controllable Arbitrary Style Transfer via Entropy Regularization
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25117
- Code: https://github.com/cplusx/eps-Assign-and-Mix
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer
MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer
DE-net: Dynamic Text-Guided Image Editing Adversarial Networks
FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25394
- Code: https://github.com/THU-LYJ-Lab/FEditNet
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing
Target-Free Text-Guided Image Manipulation
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis
- Paper: MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier
Scene Graph to Image Synthesis via Knowledge Consensus
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier
CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets
- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/25371
- Code: https://github.com/Booooooooooo/CRI
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
VIDM: Video Implicit Diffusion Models