[논문리뷰] NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
NoiseCLR 논문 리뷰 (CVPR 2024 Oral)
Recent posts
[논문리뷰] Caption Anything: Interactive Image Description with Diverse Multimodal Controls
Caption Anything (CAT) 논문 리뷰
[논문리뷰] DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
DN-Splatter 논문 리뷰 (WACV 2025)
[논문리뷰] Segment and Caption Anything
Segment and Caption Anything (SCA) 논문 리뷰 (CVPR 2024)
[논문리뷰] InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
InstaFlow 논문 리뷰 (ICLR 2024)