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Hugging Face Unveils Oxygen-TryOn: Open-Source Foundation Model for Any-Item Virtual Try-On
Oxygen-TryOn is a fashion-native foundation model that enables photorealistic virtual try-on of any item—from clothing to accessor...
OmniVAE: Jointly Trained Audio-Video VAE Achieves Cross-Modal Alignment for Synchronized Generation
Hugging Face researchers introduce OmniVAE, a jointly trained audio-video VAE that uses contrastive learning and semantic distilla...
Sol-Attn: Training-Free Sparse Attention Speeds Up Video Generation by 2x+
Sol-Attn introduces a training-free dynamic sparse attention method that unifies routing, computation, and approximation in a sing...
Hugging Face Researchers Expose Failure Mode in Diffusion Distillation with Classifier-Free Guidance
A new study reveals that naive matching of guided predictions in on-policy diffusion distillation can lead to 'Negative Branch Asy...
Hugging Face Researchers Propose 'Data Pyramid' to Organize Embodied AI Data Sources
A new paper from Hugging Face introduces the Embodied Data Pyramid, a taxonomy organizing five complementary data sources for embo...
StateAct: Program State, Not Pixels, Boosts Computer-Use Agents by 9x Cheaper
Hugging Face's StateAct uses program state instead of screenshots for computer-use agents, achieving state-of-the-art on OSWorld 2...
JarvisHub: Open-Source Canvas-Native Harness for Long-Horizon Multimodal Creative Agents
Hugging Face introduces JarvisHub, an open-source harness that reimagines creative AI as a canvas-native agent system, enabling lo...
MAPD: Multi-Agent Protocol Distillation Bridges Proprietary-to-Open-Source Gap in Agentic Search
A new framework, Multi-Agent Protocol Distillation (MAPD), combines distillation and reinforcement learning to transfer reasoning...
Hugging Face Unveils Kimi K3: A 2.8T Parameter Open-Source AI Model
Hugging Face introduces Kimi K3, a 2.8 trillion parameter Mixture-of-Experts model with 104 billion activated parameters, native v...
Hugging Face Survey Unifies Progress Reward Modeling for Robotic Learning
A new comprehensive survey from Hugging Face provides a unified framework for progress reward modeling in robotics, addressing the...
Anthropic CEO Clarifies Stance: No Ban on Open-Weights Models
Anthropic CEO Dario Amodei states the company has never advocated for banning open-weights models, instead proposing targeted meas...
Cognizant and Anthropic Expand Partnership to Bring Claude to Enterprise Clients
Cognizant and Anthropic are deepening their partnership, with Cognizant embedding Claude across its platforms, scaling a Claude-ce...