1 citations · 1 across the 7 of their papers we have counts for
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Real2Gym: Building Gyms from Videos, Bringing Skills to Robots
Kerui Ren, Yingxiang Xu, Kaiwen Song +4
Real-world videos provide rich demonstrations of manipulation, but turning them into reusable robot skills requires visually aligned environments, executable physical interactions,…
InfiniHand: Streaming World-Space Hand Motion Estimation from Egocentric Video
Kerui Ren, Kaiwen Song, Weiguang Zhao +8
World-space hand motion estimation from egocentric video requires recovering 3D articulated hand geometry while tracking camera egomotion. Existing approaches heavily rely on casca…
ProgressiveAvatars: Progressive Animatable 3D Gaussian Avatars
Kaiwen Song, Jinkai Cui, Juyong Zhang
In practical real-time XR and telepresence applications, network and computing resources fluctuate frequently. Therefore, a progressive 3D representation is needed. To this end, we…
PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction
Changjian Jiang, Kerui Ren, Xudong Li +8
Streaming reconstruction from monocular image sequences remains challenging, as existing methods typically favor either high-quality rendering or accurate geometry, but rarely both…
Deformable NeRF using Recursively Subdivided Tetrahedra
Zherui Qiu, Chenqu Ren, Kaiwen Song +3
While neural radiance fields (NeRF) have shown promise in novel view synthesis, their implicit representation limits explicit control over object manipulation. Existing research ha…
Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
Xiaoyi Zeng, Kaiwen Song, Leyuan Yang +2
Neural implicit fields have established a new paradigm for scene representation, with subsequent work achieving high-quality real-time rendering. However, reconstructing 3D scenes…
City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
Kaiwen Song, Xiaoyi Zeng, Chenqu Ren +1
Existing neural radiance field-based methods can achieve real-time rendering of small scenes on the web platform. However, extending these methods to large-scale scenes still poses…