Episode

Video generation with realistic motion

Podcast
Practical AI
Published
Jan 23, 2025
Duration seconds
2709
Processing state
failed
Canonical source
https://share.transistor.fm/s/7c4c29cc
Audio
https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/7c4c29cc/c239855c.mp3
JSON
/v1/public/podcasts/practical-ai/episodes/video-generation-with-realistic-motion
Markdown
/podcast/practical-ai/video-generation-with-realistic-motion.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/practical-ai/episodes/video-generation-with-realistic-motion/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/practical-ai/video-generation-with-realistic-motion.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo. Sponsors: Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. Featuring: Paras Jain – LinkedIn , X Chris Benson – Website , GitHub , LinkedIn , X Daniel Whitenack – Website , GitHub , X Show Notes: Genmo Upcoming Events: Register for upcoming webinars here !