2 citations · 4 across the 12 of their papers we have counts for
14 papers
Quantitative thermoviscous Darcy limits in periodic and bounded domains
Jiaojiao Pan, Luqi Wang
In this paper, we establish quantitative Darcy limits for a three-dimensional inhomogeneous incompressible fluid with temperature-dependent viscosity and quasi-static thermal feedb…
DIDO: Distilling Interaction-Centric Dynamics into One-Step Denoising for World Action Models
Jing Lyu, Shuanghao Bai, Runze Xiao +11
World Action Models (WAMs) use video generation models to predict future visual dynamics for robotic manipulation, but iterative denoising introduces additional latency for closed-…
Infinity-Parser2 Technical Report
Zuming Huang, Jun Huang, Kexuan Ren +12
We present Infinity-Parser2, a large multimodal model that couples a controllable data-synthesis pipeline with multi-task reinforcement learning for end-to-end document parsing, ad…
HetScene: Heterogeneity-Aware Diffusion for Dense Indoor Scene Generation
Zini Chen, Junming Huang, Rong Zhang +4
Generating controllable and physically plausible indoor scenes is a pivotal prerequisite for constructing high-fidelity simulation environments for embodied AI. However, existing d…
BenchCAD: A Comprehensive, Industry-Standard Benchmark for Programmatic CAD
Haozhe Zhang, Kaichen Liu, Miaomiao Chen +4
Industrial Computer-Aided Design (CAD) code generation requires models to produce executable parametric programs from visual or textual inputs. Beyond recognizing the outer shape o…
Scenes as Tokens: Multi-Scale Normal Distributions Transform Tokenizer for General 3D Vision-Language Understanding
Yutao Tang, Cheng Zhao, Gaurav Mittal +4
Recent advances in 3D vision-language models (VLMs) highlight a strong potential for 3D scene understanding and reasoning. However, effectively tokenizing 3D scenes into holistic s…
World-in-World: World Models in a Closed-Loop World
Jiahan Zhang, Muqing Jiang, Nanru Dai +14
Generative world models (WMs) can now simulate worlds with striking visual realism, which naturally raises the question of whether they can endow embodied agents with predictive pe…
EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory
Jiahao Wang, Luoxin Ye, TaiMing Lu +8
Humans possess a remarkable ability to mentally explore and replay 3D environments they have previously experienced. Inspired by this mental process, we present EvoWorld: a world m…
Speedy MASt3R
Jingxing Li, Yongjae Lee, Abhay Kumar Yadav +3
Image matching is a key component of modern 3D vision algorithms, essential for accurate scene reconstruction and localization. MASt3R redefines image matching as a 3D task by leve…
GenEx: Generating an Explorable World
Taiming Lu, Tianmin Shu, Junfei Xiao +8
Understanding, navigating, and exploring the 3D physical real world has long been a central challenge in the development of artificial intelligence. In this work, we take a step to…
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions
Michael Sprintson, Rama Chellappa, Cheng Peng
We introduce FusionRF, a novel framework for digital surface reconstruction from satellite multispectral and panchromatic images. Current work has demonstrated the increased accura…
LP-3DGS: Learning to Prune 3D Gaussian Splatting
Zhaoliang Zhang, Tianchen Song, Yongjae Lee +4
Recently, 3D Gaussian Splatting (3DGS) has become one of the mainstream methodologies for novel view synthesis (NVS) due to its high quality and fast rendering speed. However, as a…
BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling
Cheng Peng, Yutao Tang, Yifan Zhou +4
Recent efforts in using 3D Gaussians for scene reconstruction and novel view synthesis can achieve impressive results on curated benchmarks; however, images captured in real life a…
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation
Yuxiang Guo, Anshul Shah, Jiang Liu +3
Gait recognition holds the promise to robustly identify subjects based on walking patterns instead of appearance information. In recent years, this field has been dominated by lear…