collaborators

7 papers

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

JOintGS: Joint Optimization of Cameras, Bodies and 3D Gaussians for In-the-Wild Monocular Reconstruction

Zihan Lou, Jinlong Fan, Sihan Ma +2

Reconstructing high-fidelity animatable 3D human avatars from monocular RGB videos remains challenging, particularly in unconstrained in-the-wild scenarios where camera parameters…

cs.CV2026

GP-GS: Gaussian Processes Densification for 3D Gaussian Splatting

Zhihao Guo, Jingxuan Su, Chenghao Qian +8

3D Gaussian Splatting (3DGS) enables photorealistic rendering but suffers from artefacts due to sparse Structure-from-Motion (SfM) initialisation. To address this limitation, we pr…

cs.CV2026

InpaintHuman: Reconstructing Occluded Humans with Multi-Scale UV Mapping and Identity-Preserving Diffusion Inpainting

Jinlong Fan, Shanshan Zhao, Liang Zheng +3

Reconstructing complete and animatable 3D human avatars from monocular videos remains challenging, particularly under severe occlusions. While 3D Gaussian Splatting has enabled pho…

cs.CV2025

FMGS-Avatar: Mesh-Guided 2D Gaussian Splatting with Foundation Model Priors for 3D Monocular Avatar Reconstruction

Jinlong Fan, Bingyu Hu, Xingguang Li +2

Reconstructing high-fidelity animatable human avatars from monocular videos remains challenging due to insufficient geometric information in single-view observations. While recent…

cs.CV2025

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field

Jinlong Fan, Xuepu Zeng, Jing Zhang +3

Dynamic scene representation and reconstruction have undergone transformative advances in recent years, catalyzed by breakthroughs in neural radiance fields and 3D Gaussian splatti…