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cs.CV2024
ByTheWay: Boost Your Text-to-Video Generation Model to Higher Quality in a Training-free Way
Jiazi Bu, Pengyang Ling, Pan Zhang +6
The text-to-video (T2V) generation models, offering convenient visual creation, have recently garnered increasing attention. Despite their substantial potential, the generated vide…
cs.CV2024
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
Pengyang Ling, Jiazi Bu, Pan Zhang +6
Motion-based controllable video generation offers the potential for creating captivating visual content. Existing methods typically necessitate model training to encode particular…
cs.CV2024
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization
Danning Lao, Qi Liu, Jiazi Bu +2
As computer vision continues to advance and finds widespread applications across various domains, the need for interpretability in deep learning models becomes paramount. Existing…