Codes & Datasets
We publicly released source code implementations and datasets developed for our research, with the hope that they will help facilitate further AI research and applications.
Released Source Codes
|
NO |
Code |
Paper |
Conference |
Year |
|---|---|---|---|---|
| 01. |
HyperCUT 
8
1
|
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering | CVPR | 2023 |
| 02. |
Anti-DreamBooth
147
9
|
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis | ICCV | 2023 |
| 03. |
ISBNet
78
17
|
Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution | CVPR | 2023 |
| 04. |
WaveDiff
274
22
|
Wavelet Diffusion Models are fast and scalable Image Generators | CVPR | 2022 |
| 05. |
Single_image_hdr
22
3
|
Single-Image HDR Reconstruction by Multi-Exposure Generation | WACV | 2022 |
| 06. |
PSENet-Image-Enhancement
47
7
|
Network for Unsupervised Extreme-Light Image Enhancement | WACV | 2022 |