Jinshan Pan

17

Papers

205

Total Citations

Papers (17)

Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining

Correlation Matching Transformation Transformers for UHD Image Restoration

Efficient Visual State Space Model for Image Deblurring

ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution

A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition

Efficient Video Super-Resolution for Real-time Rendering with Decoupled G-buffer Guidance

Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model

Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration

PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution

CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training

FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration

Frequency Domain-Based Diffusion Model for Unpaired Image Dehazing

Intra and Inter Parser-Prompted Transformers for Effective Image Restoration

DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution

Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration

Efficient Concertormer for Image Deblurring and Beyond