Awesome Diffusion Models in Low-Level Vision

A curated list of awesome diffusion models in low-level vision papers, inspired by awesome-NeRF.

Contributing

Please feel free to send us pull requests or email us to add links.

Table of Contents

• Papers
• Implementations
• References

Papers

Image Restoration

• DiffIR: Efficient Diffusion Model for Image Restoration, Bin Xia et al., ICCV 2023 | code

• Diffusion Posterior Sampling for General Noisy Inverse Problems, Hyungjin Chung et al., arXiv 2022 | code

• Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model, Yinhuai Wang et al., arXiv 2022 | code

• Denoising Diffusion Restoration Models, Bahjat Kawar et al., ICLRW 2022 | Code

• Improving Diffusion Models for Inverse Problems using Manifold Constraints, Hyungjin Chung et al., NeurIPS 2022 | Code

• Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction, Hyungjin Chung et al., CVPR 2022

Image Super-Resolution

• Image Super-Resolution via Iterative Refinement, Chitwan Saharia et al., TPAMI 2022 | Code
• Implicit Diffusion Models for Continuous Super-Resolution, Sicheng Gao et al., CVPR 2023 | Code

Image Deblurring

• Hierarchical Integration Diffusion Model for Realistic Image Deblurring, Zheng Chen et al., arXiv 2023 | code
• Image Deblurring with Domain Generalizable Diffusion Models, Mengwei Ren et al., arXiv 2022
• Deblurring via Stochastic Refinement, Jay Whang et al., CVPR 2022

Compression Artifact Reduction

• JPEG Artifact Correction using Denoising Diffusion Restoration Models, Bahjat Kawar et al, NeurIPS Workshop 2022 | code

Image Inpainting

• RePaint: Inpainting using Denoising Diffusion Probabilistic Models, Andreas Lugmayr et al, CVPR 2022 | code

Low-light Image Enhancement

• Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model, Xunpeng Yi et al, ICCV 2023

Image Synthesis

• High-Resolution Image Synthesis with Latent Diffusion Models, Robin Rombach et al., CVPR 2022 | Code

• Diffusion Models Beat GANs on Image Synthesis, Prafulla Dhariwal et al., NeurIPS 2021 | Code

• ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models, Jooyoung Choi et al., ICCV 2021 | Code

Implementations

PyTorch

• [SR3] Image-Super-Resolution-via-Iterative-Refinement
• [LDM] High-Resolution Image Synthesis with Latent Diffusion Models
• [Lama Cleaner] Lama Cleaner
• guided-diffusion

References

• Awesome-Diffusion-Models

License

MIT