Fine-tuning CogVideoX with autoregressive context management and bidirectional alignment enables a single model to perform event-based video reconstruction, prediction, and zero-shot interpolation with superior temporal stability.
Proceedings of the Computer Vision and Pattern Recognition Conference , pages=
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Rolling Forcing generates multi-minute videos in real time by jointly denoising frames at increasing noise levels, anchoring attention to early frames, and using windowed distillation to limit error accumulation.
EduStory combines pedagogical state modeling, structured script control, and new evaluation metrics to generate consistent multi-shot STEM videos while introducing the EduVideoBench diagnostic benchmark.
citing papers explorer
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LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
Fine-tuning CogVideoX with autoregressive context management and bidirectional alignment enables a single model to perform event-based video reconstruction, prediction, and zero-shot interpolation with superior temporal stability.
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Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
Rolling Forcing generates multi-minute videos in real time by jointly denoising frames at increasing noise levels, anchoring attention to early frames, and using windowed distillation to limit error accumulation.
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EduStory: A Unified Framework for Pedagogically-Consistent Multi-Shot STEM Instructional Video Generation
EduStory combines pedagogical state modeling, structured script control, and new evaluation metrics to generate consistent multi-shot STEM videos while introducing the EduVideoBench diagnostic benchmark.