HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published 5 days ago • 123
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis Paper • 2111.04276 • Published Nov 8, 2021
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images Paper • 2209.11163 • Published Sep 22, 2022
Representation Degeneration Problem in Training Natural Language Generation Models Paper • 1907.12009 • Published Jul 28, 2019
Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation Paper • 2606.18478 • Published Jun 23
OSCAR: Omni-Embodiment Skeleton-Conditioned World Action Model for Robotics Paper • 2606.04463 • Published Jun 3
NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Paper • 2606.03159 • Published Jun 2 • 23
AFUN: Towards an Affordance Foundation Model for Functionality Understanding Paper • 2606.02551 • Published Jun 1 • 8
Modeling Depth Ambiguity: A Mixture-Density Representation for Flying-Point-Free Depth Estimation Paper • 2606.02552 • Published Jun 1
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published May 27 • 433