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cs.CV2024
IRGen: Generative Modeling for Image Retrieval
Yidan Zhang, Ting Zhang, Dong Chen +11
While generative modeling has become prevalent across numerous research fields, its integration into the realm of image retrieval remains largely unexplored and underjustified. In…
cs.CV2024
Language-Guided Face Animation by Recurrent StyleGAN-based Generator
Tiankai Hang, Huan Yang, Bei Liu +3
Recent works on language-guided image manipulation have shown great power of language in providing rich semantics, especially for face images. However, the other natural informatio…
cs.CV2024
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang, Shuyang Gu, Chen Li +5
Denoising diffusion models have been a mainstream approach for image generation, however, training these models often suffers from slow convergence. In this paper, we discovered th…