Chao Dong

36

Papers

394

Total Citations

Papers (36)

Conditional Sequential Modulation for Efficient Global Image Retouching

SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models

Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution

An Intelligent Agentic System for Complex Image Restoration Problems

TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting

SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity

Deep Network Interpolation for Continuous Imagery Effect Transition

Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

Interpreting Super-Resolution Networks With Local Attribution Maps

Reflash Dropout in Image Super-Resolution

GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer

DegAE: A New Pretraining Paradigm for Low-Level Vision

Masked Image Training for Generalizable Deep Image Denoising

Compression Artifacts Reduction by a Deep Convolutional Network

RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution

LAP-Net: Level-Aware Progressive Network for Image Dehazing

A New Journey From SDRTV to HDRTV

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization

Metric Learning Based Interactive Modulation for Real-World Super-Resolution

VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

Activating More Pixels in Image Super-Resolution Transformer

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Unifying Image Processing as Visual Prompting Question Answering

Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform

Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning

Blind Super-Resolution With Iterative Kernel Correction

Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution

AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies

Rethinking Alignment in Video Super-Resolution Transformers

Real-World Image Super-Resolution as Multi-Task Learning

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining