most citedVchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

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cs.CV2026

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine

Yukang Cao, Haozhe Xie, Beichen Wen +13

Embodied intelligence faces a fundamental data bottleneck. Models must capture how first-person perception, whole-body motion, dexterous manipulation, object state, sound, and touc…

cs.CV2026

Is Your Driving World Model an All-Around Player?

Lingdong Kong, Ao Liang, Tianyi Yan +20

Today's driving world models can generate remarkably realistic dash-cam videos, yet no single model excels universally. Some generate photorealistic textures but violate basic phys…

cs.CV2026

HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions

Yukang Cao, Haozhe Xie, Fangzhou Hong +4

We present HSImul3R, a unified framework for simulation-ready 3D reconstruction of human-scene interactions (HSI) from casual captures, including sparse-view images and monocular v…

cs.CV2025

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World

Ao Liang, Lingdong Kong, Tianyi Yan +19

Generative world models are reshaping embodied AI, enabling agents to synthesize realistic 4D driving environments that look convincing but often fail physically or behaviorally. D…

cs.CV2025

4DNeX: Feed-Forward 4D Generative Modeling Made Easy

Zhaoxi Chen, Tianqi Liu, Long Zhuo +6

We present 4DNeX, the first feed-forward framework for generating 4D (i.e., dynamic 3D) scene representations from a single image. In contrast to existing methods that rely on comp…

cs.CV2025

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

Yuhan Zhang, Long Zhuo, Ziyang Chu +5

Despite rapid advances in 3D content generation, quality assessment for the generated 3D assets remains challenging. Existing methods mainly rely on image-based metrics and operate…

cs.CV2025★ 1 cited

Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

Weichen Fan, Chenyang Si, Junhao Song +16

We present Vchitect-2.0, a parallel transformer architecture designed to scale up video diffusion models for large-scale text-to-video generation. The overall Vchitect-2.0 system h…