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

1 citations · 1 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV2026

RAR: Rate-Adaptive Rollout for Time-Consistent Interactive World Models

Yaoyang Liu, Dongyu Yan, Yihua Du +5

Video-based interactive world models aim to enable real-time, user-controllable environments. Yet most existing systems are trained and rolled out at a fixed temporal rate, limitin…

cs.AI2026

ReWorld: An Interactive World Model with Long-Horizon Memory

Zhifei Chen, Luozhou Wang, Guibao Shen +8

An interactive world model must follow the user's actions, remember the places it has shown, and stream in real time. The tension is structural: control wants a short horizon, memo…

cs.CE2026

Can Large Language Models Execute Parent Orders?

Zane Shen, Xinli Xu, Guangyi Zhang +7

Parent-order execution is a core problem in algorithmic trading, where the goal is to split a large order into smaller orders while reducing execution costs. Existing approaches ei…

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.CV2026★ 1 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.GR2025

FlexPainter: Flexible and Multi-View Consistent Texture Generation

Dongyu Yan, Leyi Wu, Jiantao Lin +7

Texture map production is an important part of 3D modeling and determines the rendering quality. Recently, diffusion-based methods have opened a new way for texture generation. How…

cs.GR2025

Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation

Jiantao Lin, Xin Yang, Meixi Chen +7

Diffusion models have achieved great success in generating 2D images. However, the quality and generalizability of 3D content generation remain limited. State-of-the-art methods of…

cs.RO2024

GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs

Xinli Xu, Wenhang Ge, Dicong Qiu +8

Estimating physical properties for visual data is a crucial task in computer vision, graphics, and robotics, underpinning applications such as augmented reality, physical simulatio…

cs.CV2024

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…

cs.RO2024

MSI-NeRF: Linking Omni-Depth with View Synthesis through Multi-Sphere Image aided Generalizable Neural Radiance Field

Dongyu Yan, Guanyu Huang, Fengyu Quan +1

Panoramic observation using fisheye cameras is significant in virtual reality (VR) and robot perception. However, panoramic images synthesized by traditional methods lack depth inf…