activity
20242026
most citedMotion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2026

GARDEN: Gravity-Aligned Reconstruction of Disentangled ENvironments from RGB images

Jiahao Sun, Dingkun Wei, Zehong Shen +3

Converting multi-view RGB observations into simulation-ready 3D environments remains challenging because current reconstruction pipelines produce monolithic scene representations w…

cs.CV2026

PointSplat: Compact Gaussian Splatting via Human-Centric Prediction

Yujie Guo, Yudong Jin, Lingteng Qiu +7

Producing 3D human representations from input views on the fly is essential for immersive live streaming systems, where representation compactness is as critical as high fidelity g…

cs.CV2026

Natural Human Motion Recovery by Aligning High-Order Temporal Dynamics from Monocular Videos

Dingkun Wei, Zehong Shen, Yan Xia +3

Human motion recovered from monocular videos often appears overly smooth or dynamically inconsistent, even when joint positions are numerically accurate. We observe that this limit…

cs.CV20261 cited

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.CV2026

Advancing Open-source World Models

Robbyant Team, Zelin Gao, Qiuyu Wang +21

We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It…

cs.CV2025

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Xingyi He, Hao Yu, Sida Peng +4

Image matching, which aims to identify corresponding pixel locations between images, is crucial in a wide range of scientific disciplines, aiding in image registration, fusion, and…