Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Repository
Repository di JingyunLiang
Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments
Reference-based Image Super-Resolution with Deformable Attention Transformer
Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/
Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Lumos Project: Frontier generative model research by Alibaba DAMO Academy, including Lumos-1, etc.
Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
MoVideo: Motion-Aware Video Generation with Diffusion Models
PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization
A script for PyTorch multi-GPU multi-process testing
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space (ICML2026)
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis
SwinIR: Image Restoration Using Swin Transformer (official repository)
Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation
VRT: A Video Restoration Transformer (official repository)
VSR-Transformer