• 🎬 One-Minute Video Generation via Test-Time Transformer Training

  • 2025/04/17
  • 再生時間： 15 分
  • ポッドキャスト

🎬 One-Minute Video Generation via Test-Time Transformer Training

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  • Researchers introduced Test-Time Training (TTT) layers to enhance the ability of pre-trained Diffusion Transformers to generate longer, more complex videos from text. These novel layers, inspired by meta-learning, allow the model's hidden states to adapt during the video generation process. To validate their approach, they created a dataset of annotated Tom and Jerry cartoons for training and evaluation. Their model, incorporating TTT layers, outperformed existing methods in generating coherent, minute-long videos with multi-scene stories and dynamic motion, as judged by human evaluators. While promising, the generated videos still exhibit some artifacts, and the method's efficiency could be improved. The study demonstrates a step forward in creating longer, story-driven videos from textual descriptions.

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あらすじ・解説

Researchers introduced Test-Time Training (TTT) layers to enhance the ability of pre-trained Diffusion Transformers to generate longer, more complex videos from text. These novel layers, inspired by meta-learning, allow the model's hidden states to adapt during the video generation process. To validate their approach, they created a dataset of annotated Tom and Jerry cartoons for training and evaluation. Their model, incorporating TTT layers, outperformed existing methods in generating coherent, minute-long videos with multi-scene stories and dynamic motion, as judged by human evaluators. While promising, the generated videos still exhibit some artifacts, and the method's efficiency could be improved. The study demonstrates a step forward in creating longer, story-driven videos from textual descriptions.

Send us a text

Support the show


Podcast:
https://kabir.buzzsprout.com


YouTube:
https://www.youtube.com/@kabirtechdives

Please subscribe and share.
続きを読む 一部表示

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