[논문리뷰] CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
CLIP as RNN (CaR) 논문 리뷰 (CVPR 2024)
Recent posts
[논문리뷰] GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
GenTron 논문 리뷰 (CVPR 2024)
[논문리뷰] NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
NoiseCLR 논문 리뷰 (CVPR 2024 Oral)
[논문리뷰] Caption Anything: Interactive Image Description with Diverse Multimodal Controls
Caption Anything (CAT) 논문 리뷰