10 citations · 10 across the 9 of their papers we have counts for
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cs.CV2024
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation
Chenyu Wang, Shuo Yan, Yixuan Chen +10
Video generation using diffusion-based models is constrained by high computational costs due to the frame-wise iterative diffusion process. This work presents a Diffusion Reuse MOt…
cs.LG2024
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi, Yixuan Chen, Mingzhi Dong +10
Despite their prevalence in deep-learning communities, over-parameterized models convey high demands of computational costs for proper training. This work studies the fine-grained,…