activity
20242026
most citedCosmos World Foundation Model Platform for Physical AI

11 citations · 15 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

Kaiwen Zheng, Guande He, Min Zhao +7

Autoregressive video diffusion with causal diffusion transformers has emerged as a major paradigm for real-time streaming video generation and action-conditioned interactive world…

cs.LG2026

ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation

Chen Lin, Kedi Chen, Wei Zhang

On-policy distillation (OPD) improves LLM reasoning by training a student model on its own generated outputs, but standard OPD treats all student-generated outputs (SGOs) equally r…

cs.RO2026★ 1 cited

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Shenyuan Gao, William Liang, Kaiyuan Zheng +27

Being able to simulate the outcomes of actions in varied environments will revolutionize the development of generalist agents at scale. However, modeling these world dynamics, espe…

cs.CV2026

Plenoptic Video Generation

Xiao Fu, Shitao Tang, Min Shi +5

Camera-controlled generative video re-rendering methods, such as ReCamMaster, have achieved remarkable progress. However, despite their success in single-view setting, these works…

cs.CV2025

World Simulation with Video Foundation Models for Physical AI

NVIDIA, :, Arslan Ali +87

We introduce [Cosmos-Predict2.5], the latest generation of the Cosmos World Foundation Models for Physical AI. Built on a flow-based architecture, [Cosmos-Predict2.5] unifies Text2…

cs.CV2025

ViPE: Video Pose Engine for 3D Geometric Perception

Jiahui Huang, Qunjie Zhou, Hesam Rabeti +12

Accurate 3D geometric perception is an important prerequisite for a wide range of spatial AI systems. While state-of-the-art methods depend on large-scale training data, acquiring…

cs.CV2025

Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation

Lu Ling, Chen-Hsuan Lin, Tsung-Yi Lin +7

Synthesizing interactive 3D scenes from text is essential for gaming, virtual reality, and embodied AI. However, existing methods face several challenges. Learning-based approaches…

cs.CV2025

Dynamic Camera Poses and Where to Find Them

Chris Rockwell, Joseph Tung, Tsung-Yi Lin +3

Annotating camera poses on dynamic Internet videos at scale is critical for advancing fields like realistic video generation and simulation. However, collecting such a dataset is d…

cs.CV2025★ 11 cited

Cosmos World Foundation Model Platform for Physical AI

NVIDIA, :, Niket Agarwal +76

Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present th…

cs.CV2024★ 3 cited

Edify 3D: Scalable High-Quality 3D Asset Generation

NVIDIA, :, Maciej Bala +22

We introduce Edify 3D, an advanced solution designed for high-quality 3D asset generation. Our method first synthesizes RGB and surface normal images of the described object at mul…