This AI Paper from UT Austin and Meta AI Introduces FlowVid: A Consistent Video-to-Video Synthesis Method Using Joint Spatial-Temporal Conditions

In the domain of computer vision, particularly in video-to-video (V2V) synthesis, maintaining temporal consistency across video frames has been a persistent challenge. Achieving this consistency is crucial for synthesized videos’ coherence and visual appeal, which often combine elements from varying sources or modify them according to specific prompts. Traditional methods in this field have heavily […]

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