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

  • Apr 17 2025
  • Length: 15 mins
  • Podcast

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

Listen for free

View show details

  • Summary

  • 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.
    Show more Show less
Show more Show less
adbl_web_global_use_to_activate_webcro768_stickypopup

What listeners say about 🎬 One-Minute Video Generation via Test-Time Transformer Training

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available