ByChelsea
Image super-resolution. Anomaly detection. 3D/4D Generation.
APRIL Lab, Zhejiang UniversityHangzhou, China
Pinned Repositories
CLIP-AD
CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
CMOS
[CVPR 2023] Better “CMOS” Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
VAND-APRIL-GAN
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
xuhaichen.github.io
My homepage.
threestudio-gaussiandreamer
GaussianDreamer extension of threestudio.
threestudio-3dgs
3D Gaussian Splatting extension of threestudio.
dreamgaussian4d
[arXiv 2023] DreamGaussian4D: Generative 4D Gaussian Splatting
4dfy
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
threestudio
A unified framework for 3D content generation.
CLIP_Surgery
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
ByChelsea's Repositories
ByChelsea/VAND-APRIL-GAN
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
ByChelsea/CLIP-AD
CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
ByChelsea/CMOS
[CVPR 2023] Better “CMOS” Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
ByChelsea/xuhaichen.github.io
My homepage.