5 citations · 8 across the 3 of their papers we have counts for
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cs.CV2025
Harnessing Diffusion-Yielded Score Priors for Image Restoration
Xinqi Lin, Fanghua Yu, Jinfan Hu +5
Deep image restoration models aim to learn a mapping from degraded image space to natural image space. However, they face several critical challenges: removing degradation, generat…
cs.CV2022★ 3 cited
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors
Jingwen He, Wu Shi, Kai Chen +2
Face image super resolution (face hallucination) usually relies on facial priors to restore realistic details and preserve identity information. Recent advances can achieve impress…
cs.CV2019★ 5 cited
Learning to Synthesize Fashion Textures
Wu Shi, Tak-Wai Hui, Ziwei Liu +2
Existing unconditional generative models mainly focus on modeling general objects, such as faces and indoor scenes. Fashion textures, another important type of visual elements arou…