[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

[arXiv 2024] Exposure Bracketing is All You Need for Unifying Image Restoration and Enhancement Tasks

A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten ge…

Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

[CVPR2024] Diffusion-based Blind Text Image Super-Resolution (Official)

My Implementation of Adversarial Diffusion Distillation https://arxiv.org/pdf/2311.17042.pdf

[CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Taming Transformers for High-Resolution Image Synthesis

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

Efficient computing methods developed by Huawei Noah's Ark Lab

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Official implementation of Deep Burst Super-Resolution

Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

A PyTorch library and evaluation platform for end-to-end compression research

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

🎓 Advice and resources for thriving and surviving graduate school

Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).

End-to-End Learnt Image Compression Codec

[ECCV2022] Optimizing Image Compression via Joint Learning with Denoising

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

Collect super-resolution related papers, data, repositories