activity
20182026
most citedDeep Face Video Inpainting via UV Mapping

21 citations · 64 across the 34 of their papers we have counts for

collaborators

36 papers

cs.CV2026

IntriAdapt: Generalizable Intrinsic-Guided Test-Time Adaptation for Metric Geometry Estimation

Jiaxing Chen, Zizheng Yan, Jingyu Zhuang +4

Recovering metric 3D geometry from images is fundamentally ill-posed due to perspective projection ambiguity. Current geometry models incorporate supplied or predicted intrinsics d…

cs.CV2026

PXDepth: Pixel-Space Modeling for Structure Preserving Monocular Depth Estimation

Zhiyuan Yuan, Guanying Chen, Lingteng Qiu +3

Recent monocular depth estimators achieve strong zero-shot generalization, yet often struggle to preserve fine-grained structures and object boundaries. We attribute this limitatio…

cs.CV2026

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World

Zhongqiang Song, Guanying Chen, Yuqi Zhang +6

This paper addresses the problem of monocular metric depth estimation in aerial UAV imagery. Although recent data-driven methods have achieved remarkable progress in ground-level s…

cs.CV2026

PartNerFace: Part-based Neural Radiance Fields for Animatable Facial Avatar Reconstruction

Xianggang Yu, Lingteng Qiu, Xiaohang Ren +4

We present PartNerFace, a part-based neural radiance fields approach, for reconstructing animatable facial avatar from monocular RGB videos. Existing solutions either simply condit…

cs.CV2025

RobustSplat++: Decoupling Densification, Dynamics, and Illumination for In-the-Wild 3DGS

Chuanyu Fu, Guanying Chen, Yuqi Zhang +6

3D Gaussian Splatting (3DGS) has gained significant attention for its real-time, photo-realistic rendering in novel-view synthesis and 3D modeling. However, existing methods strugg…

cs.CV2025

CloseUpShot: Close-up Novel View Synthesis from Sparse-views via Point-conditioned Diffusion Model

Yuqi Zhang, Guanying Chen, Jiaxing Chen +3

Reconstructing 3D scenes and synthesizing novel views from sparse input views is a highly challenging task. Recent advances in video diffusion models have demonstrated strong tempo…