[논문리뷰] Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution

선정 이유 : Attention 기법을 사용하는 Face Super-Resolution

[발표 PPT]

저작자표시 비영리 변경금지 (새창열림)

[논문리뷰] CodeFormer : Towards Robust Blind Face Restoration with Codebook Lookup Transformer (0)	2025.01.20
[논문리뷰] SPARNet : Learning Spatial Attention for Face Super-Resolution (0)	2024.05.27
[논문 공부] RPF: Reference-Based Progressive FaceSuper-Resolution Without LosingDetails and Identity (2)	2023.11.22
[논문리뷰] U-Net: Convolutional Networks for Biomedical Image Segmentation (0)	2023.11.12
[논문리뷰] Vit : An Image is Worth 16x16 Words Transformers for Image Recognition at Scale (2)	2023.10.09

민도리의 공부