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Found 5 papers, 3 papers with code
Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
Second, leveraging the physical principle of light transport independence, we apply linear blending between the source video's appearance and the relighted appearance, using a Progressive Light Fusion (PLF) strategy to ensure smooth temporal transitions in illumination.
BroadWay: Boost Your Text-to-Video Generation Model in a Training-free Way
Additionally, we have observed that the energy contained within the temporal attention maps is directly related to the magnitude of motion amplitude in the generated videos.
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
Motion-based controllable video generation offers the potential for creating captivating visual content.
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization
As computer vision continues to advance and finds widespread applications across various domains, the need for interpretability in deep learning models becomes paramount.
MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks
In this work, we propose MetaScript, a novel Chinese content generation system designed to address the diminishing presence of personal handwriting styles in the digital representation of Chinese characters.
