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From the 1 of 13 linked papers with an AI index.

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13 papers

cs.CV2026

InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis

Jiawei Wang, Hao Yu, Yongzhen Hu +7

Single-image feed-forward 3D Gaussian Splatting (3DGS) aims to directly generate a renderable 3D scene representation from one input image, avoiding the cost of multi-view capture…

cs.RO2026

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations

Ziyang Zhang, Boyang Zhou, Zesong Yang +8

The paper proposes a goal‑conditioned stochastic path prior that learns a transferable distribution over local navigation paths from limited observations, enabling safe, multimodal…

cs.CV2026

Motion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations

Ruoxi Guo, Huaijin Pi, Zehong Shen +8

Text-driven human motion synthesis has showcased its potential for revolutionizing motion design in the movie and game industry. Existing methods often rely on 3D motion capture da…

cs.GR2026

PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning

Yuanhang Lei, Tao Cheng, Xingxuan Li +6

Achieving real-time physics-based animation that generalizes across diverse 3D shapes and discretizations remains a fundamental challenge. We introduce PhysSkin, a physics-informed…

cs.CV2026

DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics

Yuanhang Lei, Boming Zhao, Zesong Yang +10

Modeling wind-driven object dynamics from video observations is highly challenging due to the invisibility and spatio-temporal variability of wind, as well as the complex deformati…

cs.RO2026

Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting

Ziyuan Xia, Jingyi Xu, Chong Cui +9

Training embodied AI agents depends critically on the visual fidelity of simulation environments and the ability to model dynamic humans. Current simulators rely on mesh-based rast…