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cs.CV2024
Towards Precise Scaling Laws for Video Diffusion Transformers
Yuanyang Yin, Yaqi Zhao, Mingwu Zheng +11
Achieving optimal performance of video diffusion transformers within given data and compute budget is crucial due to their high training costs. This necessitates precisely determin…
cs.CV2024
Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
Qiuheng Wang, Yukai Shi, Jiarong Ou +10
With the continuous progress of visual generation technologies, the scale of video datasets has grown exponentially. The quality of these datasets plays a pivotal role in the perfo…
cs.CV2024★ 1 cited
UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark
Zhaokun Zhou, Qiulin Wang, Bin Lin +7
As an alternative to expensive expert evaluation, Image Aesthetic Assessment (IAA) stands out as a crucial task in computer vision. However, traditional IAA methods are typically c…