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From the 1 of 11 linked papers with an AI index.

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20242026
most citedA Mechanistic View on Video Generation as World Models: State and Dynamics

1 citations · 1 across the 4 of their papers we have counts for

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cs.CV2026

MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

Dehao Hao, Kaiyi Zhang, Tanghui Jia +10

High-fidelity 3D generative modeling increasingly relies on the latent diffusion paradigm, where the reconstruction quality of the underlying 3D VAE becomes a primary bottleneck. E…

cs.CV20261 cited

A Mechanistic View on Video Generation as World Models: State and Dynamics

Luozhou Wang, Zhifei Chen, Yihua Du +11

Large-scale video generation models have demonstrated emergent physical coherence, positioning them as potential world models. However, a gap remains between contemporary "stateles…

cs.CV2025

UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement

Tanghui Jia, Dongyu Yan, Dehao Hao +11

In this report, we introduce UltraShape 1.0, a scalable 3D diffusion framework for high-fidelity 3D geometry generation. The proposed approach adopts a two-stage generation pipelin…

cs.CV2025

STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding

Zhifei Chen, Tianshuo Xu, Leyi Wu +6

Video generation has recently made striking visual progress, but maintaining coherent object motion and interactions remains difficult. We trace two practical bottlenecks: (i) huma…

cs.CV2025

Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion

Zhifei Chen, Tianshuo Xu, Wenhang Ge +7

Rendering and inverse rendering are pivotal tasks in both computer vision and graphics. The rendering equation is the core of the two tasks, as an ideal conditional distribution tr…