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Chong Mou (牟冲)
School of Electronic and Computer Engineering
Shenzhen Graduate School
Peking University
Research Areas
Image Restoration
Object Detection
Education
B. S. Degree in Information Engineering, 2020
South China University of Technology
Publication
ReVideo: Remake a Video with Motion and Content Control
Empowering Real-World Image Super-Resolution with Flexible Interactive Modulation
360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Metric Learning based Interactive Modulation for Real-World Super-Resolution
Deep Generalized Unfolding Networks for Image Restoration
Robust Invertible Image Steganography
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Sensing
Dynamic Attentive Graph Learning for Image Restoration
Graph Attention Neural Network for Image Restoration
Synergic Feature Attention for Image Restoration
COLA-Net: Collaborative Attention Network for Image Restoration
Attention Based Dual Branches Fingertip Detection Network and Virtual Key System
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