1 citations · 2 across the 8 of their papers we have counts for
9 papers
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…
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…
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…
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…
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…
UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing
Jinlong Fan, Jing Zhang, Dacheng Tao
Neural radiance field (NeRF) has become a popular 3D representation method for human avatar reconstruction due to its high-quality rendering capabilities, e.g., regarding novel vie…
AniPixel: Towards Animatable Pixel-Aligned Human Avatar
Jinlong Fan, Jing Zhang, Zhi Hou +1
Although human reconstruction typically results in human-specific avatars, recent 3D scene reconstruction techniques utilizing pixel-aligned features show promise in generalizing t…
SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses
Jinlong Fan, Jing Zhang, Dacheng Tao
Deep learning has demonstrated its power in image rectification by leveraging the representation capacity of deep neural networks via supervised training based on a large-scale syn…
Wide-angle Image Rectification: A Survey
Jinlong Fan, Jing Zhang, Stephen J. Maybank +1
Wide field-of-view (FOV) cameras, which capture a larger scene area than narrow FOV cameras, are used in many applications including 3D reconstruction, autonomous driving, and vide…