138 citations · 216 across the 16 of their papers we have counts for
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cs.AI2023
SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity
Haitao Xu, Songwei Liu, Yuyang Xu +7
To address the challenge of increasing network size, researchers have developed sparse models through network pruning. However, maintaining model accuracy while achieving significa…
cs.CV2023★ 29 cited
Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning
Weifeng Chen, Yatai Ji, Jie Wu +6
Recent advances in text-to-image (T2I) diffusion models have enabled impressive image generation capabilities guided by text prompts. However, extending these techniques to video g…
cs.CV2023★ 10 cited
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li +1
We discover that common diffusion noise schedules do not enforce the last timestep to have zero signal-to-noise ratio (SNR), and some implementations of diffusion samplers do not s…