Jiangxin Dong

18

Papers

124

Total Citations

Papers (18)

Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining

Efficient Visual State Space Model for Image Deblurring

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution

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

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

SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution

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

DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models

Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring

Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring

Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring

Deep Blind Video Super-Resolution

Multi-Scale Residual Low-Pass Filter Network for Image Deblurring

Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution

DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution

Physics-based Feature Dehazing Networks

Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception