controllable-generation

There are 46 repositories under controllable-generation topic.

  • yang-song/score_sde_pytorch

    PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

    Language:Jupyter Notebook1.8k1761319

  • ttengwang/Caption-Anything

    Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything

    Language:Python1.7k1624102

  • yang-song/score_sde

    Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

    Language:Jupyter Notebook1.5k1925205

  • ermongroup/SDEdit

    PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

    Language:Python1k232893

  • PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models

    A collection of resources on controllable generation with text-to-image diffusion models.

    917451627

  • MyNiuuu/MOFA-Video

    [ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

    Language:Python636235236

  • kpandey008/DiffuseVAE

    Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

    Language:Python35371134

  • open-mmlab/StyleShot

    StyleShot: A SnapShot on Any Style. 一款可以迁移任意风格到任意内容的模型，无需针对图片微调，即能生成高质量的个性风格化图片!

    Language:Python26742516

  • haofanwang/awesome-conditional-content-generation

    Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.

    25515127

  • WU-CVGL/MVControl

    [3DV-2025] Official implementation of "Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting"

    Language:Python19118146

  • hancyran/LiDAR-Diffusion

    [CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"

    Language:Python18891911

  • xyfJASON/ctrlora

    Codebase for "CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation"

    Language:Python174596

  • KangweiiLiu/Awesome_Audio-driven_Talking-Face-Generation

    A curated list of resources of audio-driven talking face generation

    1302311

  • open-mmlab/AnyControl

    [ECCV 2024] AnyControl, a multi-control image synthesis model that supports any combination of user provided control signals. 一个支持用户自由输入控制信号的图像生成模型，能够根据多种控制生成自然和谐的结果！

    Language:Python113233

  • GGGHSL/InfoSwap-master

    Official PyTorch Implementation for InfoSwap

    Language:Python9771612

  • samxuxiang/hnc-cad

    [ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".

    Language:Python857616

  • ImKeTT/CTG-latentAEs

    [Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.

    49501

  • ImKeTT/AdaVAE

    [Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation

    Language:Python34504

  • LabShuHangGU/PerlDiff

    PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models

    34511

  • VSAnimator/collage-diffusion

    Implementation of Collage Diffusion (https://arxiv.org/abs/2303.00262)

    Language:Jupyter Notebook34112

  • jxzhangjhu/awesome-LLM-controlled-decoding-generation

    awesome-LLM-controlled-constrained-generation

    26103

  • ImKeTT/PCAE

    [KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation

    Language:Python24471

  • bladewaltz1/ModeCap

    Controllable mage captioning model with unsupervised modes

    Language:Python21230

  • BioMedIA-MBZUAI/XReal

    Language:Python19420

  • ha-lins/DTG-SI

    Code for "Data-to-text Generation with Style Imitation." [Findings of EMNLP 2020]

    Language:Lua14224

  • Robin-WZQ/CCLAP

    [ICME2023, oral] CCLAP: Controllable Chinese Landscape Painting generation

    Language:Python13111

  • wangqiang9/Awesome-Controllable-Video-Diffusion

    Awesome Controllable Video Generation with Diffusion Models

    9100

  • kenchan0226/control-sum-cmdp

    Source code of our TACL paper "Controllable Summarization with Constrained Markov Decision Process"

    Language:Python8202

  • styfeng/SAPPHIRE

    Code for SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation (https://aclanthology.org/2021.inlg-1.21/) INLG 2021 Best Long Paper.

    8521

  • Justin900429/autonomous_driving_with_diffusion_model

    Using diffusion model to reach controllable end-to-end driving with Carla simulation environment.

    Language:Python60

  • styfeng/SMERTI

    Code for SMERTI for Semantic Text Exchange.

    Language:Jupyter Notebook6401

  • vita-epfl/CODE

    Implementation of CODE: Confident Ordinary Differential Editing

    Language:Jupyter Notebook60

  • chao1224/GraphCG

    Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled, TMLR 2024

    Language:Python4201

  • YuweiYin/TTIDA

    TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models

    Language:Python3400

  • faverogian/controlNet

    An implementation of ControlNet as described in "Adding Conditional Control to Text-to-Image Diffusion Models" published by Zhang et al.

    Language:Python2201

  • parikshitkumar1/Generative_Modeling

    Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.

    Language:Jupyter Notebook2100