Jinshan Pan

最新

A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition
CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training
DeblurDiff: Real-World Image Deblurring with Generative Diffusion Models
Deep unpaired blind image super-resolution using self-supervised learning and exemplar distillation
DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
Efficient Concertormer for Image Deblurring and Beyond
Efficient Video Super-Resolution for Real-time Rendering with Decoupled G-buffer Guidance
Efficient Visual State Space Model for Image Deblurring
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration
Learning an adaptive sparse transformer for efficient image restoration
Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model
Learning Efficient Deep Discriminative Spatial and Temporal Networks for Video Deblurring
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
Towards Unified Deep Image Deraining: A Survey and a New Benchmark