activity
20232026
most citedStructuredField: Unifying Structured Geometry and Radiance Field

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.LG2026

Hilbert-Scale Stability of Posterior Diffusion Priors for Ill-Posed Signal Recovery

Bahman Moraffah, Raha Moraffah

Indirect and noisy observations are difficult to invert when the forward operator smooths out the unknown signal. In this case, the unstable modes are precisely the modes that the…

cs.CV2026

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,…

cs.CV2026

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…

cs.GR2026

Distance Field Rasterization for End-to-End Mesh Reconstruction

Jinkai Cui, Kaiwen Song, Chumeng Niu +1

Rasterization based methods have recently enabled high-quality novel view synthesis at real-time rates, but their underlying volumetric primitives do not expose a direct, globally…

cs.CV2026

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…

cs.CV2026

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…