Chong Mou
12 papers · 2021–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🤝
Dynamic Duo
(12)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(58)
💎
Century Club
(12)
Conferences
CVPR (6)
ICCV (2)
AAAI (1)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
diffusion model
(4)
image reconstruction
(3)
video generation
(3)
deep unfolding network
(2)
image restoration
(2)
deep unfolding
(2)
image generation
(2)
proximal gradient descent
(1)
gradient estimation
(1)
multimodal learning
(1)
text-to-image generation
(1)
image denoising
(1)
image compression
(1)
generative model
(1)
graph learning
(1)
text-to-image model
(1)
stochastic differential equation
(1)
normalizing flow
(1)
video editing
(1)
image editing
(1)
Papers
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
ICLR 2024
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models
AAAI 2024
360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
CVPR 2024
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
CVPR 2024
ReVideo: Remake a Video with Motion and Content Control
NIPS 2024
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
CVPR 2023
Large-Capacity and Flexible Video Steganography via Invertible Neural Network
CVPR 2023
Metric Learning Based Interactive Modulation for Real-World Super-Resolution
ECCV 2022
Deep Generalized Unfolding Networks for Image Restoration
CVPR 2022
Robust Invertible Image Steganography
CVPR 2022
Dynamic Attentive Graph Learning for Image Restoration
ICCV 2021
Dense Deep Unfolding Network With 3D-CNN Prior for Snapshot Compressive Imaging
ICCV 2021