DAMO Academy
DAMO Academy on Hugging Face Daily Papers: 16 papers, 4 in the top 3 of their day, 1 paper of the day.
- WorldAttention: An Efficient Attention Architecture for Interactive Video World Models 49 upvotes, #21 of 2026-09-30
- RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance 14 upvotes, #18 of 2026-08-11
- ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding 11 upvotes, #13 of 2026-07-28
- RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model 197 upvotes, #1 of 2026-07-21
- WorldOlympiad: Can Your World Model Survive a Triathlon? 31 upvotes, #13 of 2026-06-10
- Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells 75 upvotes, #5 of 2026-04-01
- LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation 22 upvotes, #8 of 2026-03-23
- RynnBrain: Open Embodied Foundation Models 42 upvotes, #3 of 2026-02-19
- Few-Step Distillation for Text-to-Image Generation: A Practical Guide 7 upvotes, #21 of 2025-12-16
- BlockVid: Block Diffusion for High-Quality and Consistent Minute-Long Video Generation 3 upvotes, #32 of 2025-12-03
- Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation 45 upvotes, #3 of 2025-11-27
- RynnVLA-002: A Unified Vision-Language-Action and World Model 24 upvotes, #5 of 2025-11-24
- UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback 33 upvotes, #7 of 2025-11-04
- High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting 11 upvotes, #26 of 2025-10-14
- Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors 10 upvotes, #17 of 2025-08-13
- Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning 100 upvotes, #2 of 2025-06-10
Data: hysts-bot-data/daily-papers-stats and the Daily Papers API. Open data: tardellirs/paper-pulse-data. Sister project: Model Pulse, the download history of every model on the Hub.