Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
ANGESTROM

The Intelligence Layer of Humanity. Everything AI. All in One Place.

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom Intelligence Private Limited. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /lucidrains/mimic-video
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday

lucidrains/mimic-video

Implementation of Mimic-Video, Video-Action Models for SOTA Generalizable Robot Control Beyond VLAs

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 53%Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models →
  • PossiblePossibly related (embedding) · 53%FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model →
  • PossiblePossibly related (embedding) · 51%The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection →
  • PossiblePossibly related (embedding) · 48%PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation →
  • PossiblePossibly related (embedding) · 48%SurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics →
  • PossiblePossibly related (embedding) · 54%Simple-to-Complex Structured Demonstrations for Vision-Language-Action Learning →
  • PossiblePossibly related (embedding) · 51%From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model →
  • PossiblePossibly related (embedding) · 53%Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement →

Implements

paperZ-1: Efficient Reinforcement Learning for Vision-Language-Action ModelspaperFurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action ModelpaperThe Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data CollectionpaperPhysisForcing: Physics Reinforced World Simulator for Robotic ManipulationpaperSurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical Robotics

Implements (incoming)

paperSimple-to-Complex Structured Demonstrations for Vision-Language-Action LearningpaperFrom Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action ModelpaperTraining-Free Acceleration for Vision-Language-Action Models with Action Caching and RefinementpaperLift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware ManipulationpaperNative Video-Action Pretraining for Generalizable Robot Control

Covers (incoming)

newsFlux 3 X Mimic: The Next Generation of Video-Action Models

Related across the graph

paperThe Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data CollectionnewsFlux 3 X Mimic: The Next Generation of Video-Action ModelspaperNative Video-Action Pretraining for Generalizable Robot ControlpaperSimple-to-Complex Structured Demonstrations for Vision-Language-Action LearningpaperLift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware ManipulationpaperPhysisForcing: Physics Reinforced World Simulator for Robotic ManipulationpaperSurgVLA-Bench: Towards Evaluating Vision-Language-Action Models for Laparoscopic Surgical RoboticspaperFrom Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action ModelpaperTraining-Free Acceleration for Vision-Language-Action Models with Action Caching and RefinementpaperZ-1: Efficient Reinforcement Learning for Vision-Language-Action ModelspaperFurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model
Knowledge path·PThe Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection→NFlux 3 X Mimic: The Next Generation of Video-Action Models→PNative Video-Action Pretraining for Generalizable Robot Control→Rlucidrains/mimic-video

Topics

artificial-intelligenceattention-mechanismdeep-learningroboticstransformersvideo-models

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score121