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07/05/2023
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Despite the ability of existing large-scale text-to-image (T2I) models t...
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04/27/2023
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
By integrating certain optimization solvers with deep neural networks, d...
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04/24/2023
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Video steganography is the art of unobtrusively concealing secret data i...
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02/16/2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
The incredible generative ability of large-scale text-to-image (T2I) mod...
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07/25/2022
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Compressive learning (CL) is an emerging framework that integrates signa...
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05/10/2022
Metric Learning based Interactive Modulation for Real-World Super-Resolution
Interactive image restoration aims to restore images by adjusting severa...
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04/28/2022
Deep Generalized Unfolding Networks for Image Restoration
Deep neural networks (DNN) have achieved great success in image restorat...
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09/14/2021
Dynamic Attentive Graph Learning for Image Restoration
Non-local self-similarity in natural images has been verified to be an e...
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09/14/2021
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
Snapshot compressive imaging (SCI) aims to record three-dimensional sign...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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03/10/2021
