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In real-world scenarios, both face images and videos may suffer from unknown and varied types of degradation, such as down-sampling, noise, blur, and compression.
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Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
AuthorShell Xu Hu
PublishedConference on Empirical Methods in Natural Language Processing (EMNLP)
Date2024-11-13
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
AuthorMehdi Noroozi, Isma Hadji, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos
PublishedEuropean Conference on Computer Vision (ECCV)
Date2024-09-30
Watch Your Steps: Local Image and Scene Editing by Text Instructions
AuthorTristan Aumentado-Armstrong, Marcus A. Brubaker, Alex Levinshtein, Konstantinos G. Derpanis
PublishedThe European Conference on Computer Vision (ECCV)
Date2024-07-01
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