activity
20152026
most citedNeural 3D Reconstruction in the Wild

105 citations · 527 across the 76 of their papers we have counts for

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96 papers · 1 filter

cs.CV2026

4DAnyone: Create Anyone in 4D from a Casual Monocular Video

Yudong Jin, Tao Xie, Qihang Zhang +6

We present 4DAnyone, a framework for reconstructing 4D humans from an uncalibrated monocular video by generating reconstruction-grade multiview-consistent videos and lifting them i…

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.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.CV2026

Contact Matrix: Enhancing Dance Motion Synthesis with Precise Interaction Modeling

Xuhai Chen, Zhi Cen, Huaijin Pi +3

Generating realistic reactive motions, in which one person reacts to the fixed motions of others, is challenging due to strict interaction constraints and a limited feasible soluti…

cs.CV2026

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction

Tao Xie, Peishan Yang, Yudong Jin +8

This paper addresses the task of large-scale 3D scene reconstruction from long video sequences. Recent feed-forward reconstruction models have shown promising results by directly r…