Codes & Datasets
We publicly released source code implementations and datasets developed for our research, hoping that they will facilitate further AI research and applications.
Released Source Codes
NO |
Code |
Paper |
Conference |
Year |
---|---|---|---|---|
01. |
CREPS
30
1
|
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis | CVPR | 2023 |
02. |
HyperCUT
12
1
|
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering | CVPR | 2023 |
03. |
Anti-DreamBooth
208
17
|
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis | ICCV | 2023 |
04. |
ISBNet
124
23
|
Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution | CVPR | 2023 |
05. |
WaveDiff
377
29
|
Wavelet Diffusion Models are fast and scalable Image Generators | CVPR | 2022 |
06. |
Single_image_hdr
41
3
|
Single-Image HDR Reconstruction by Multi-Exposure Generation | WACV | 2022 |