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H

huang-yh/Owl

0
View on GitHub↗
0 stars·0 forks·6 views

Owl

$\dagger$ Project leader

Features

  • Embodied World Models - Omni world model for consistent long video generation.
  • Long Video Generation - Acts as an omni world model for consistent long video generation.

Star history

Star history chart for huang-yh/owlStar history chart for huang-yh/owl

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does huang-yh/owl do?

$\dagger$ Project leader

What are the main features of huang-yh/owl?

The main features of huang-yh/owl are: Embodied World Models, Long Video Generation.

Which projects share features with huang-yh/owl?

Projects with overlapping indexed features include: agibottech/ewmbench — Official code for EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models. aidanscannell/dcmpc — This repository is the official implementation of DC-MPC, presented in "Discrete Codebook World Models for Continuous… aim-uofa/moviedreamer. ali-vilab/in-context-lora — Official repository of In-Context LoRA for Diffusion Transformers. alibaba-damo-academy/worldvla — RynnVLA-002: A Unified Vision-Language-Action and World Model. 20robo/raenwm — Paper | Models (Coming Soon).

Projects sharing features with Owl

These projects share indexed features with Owl. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • agibottech/ewmbenchAgibotTech avatar

    AgibotTech/EWMBench

    126View on GitHub↗

    Official code for EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models

    Python
    View on GitHub↗126
  • aidanscannell/dcmpcaidanscannell avatar

    aidanscannell/dcmpc

    32View on GitHub↗

    This repository is the official implementation of DC-MPC, presented in "Discrete Codebook World Models for Continuous Control" at ICLR 2025. DC-MPC is a model-based reinforcement learning algorithm demonstrating the strengths of learning a discrete latent space with discrete codebook encodings.

    Jupyter Notebook
    View on GitHub↗32
  • aim-uofa/moviedreamerA

    aim-uofa/MovieDreamer

    0View on GitHub↗
    View on GitHub↗0
  • 20robo/raenwm20robo avatar

    20robo/raenwm

    18View on GitHub↗

    Paper | Models (Coming Soon)

    Python
    View on GitHub↗18
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