14 citations · 21 across the 11 of their papers we have counts for
7 papers · 2 filters
DiHuR: Diffusion-Guided Generalizable Human Reconstruction
Jinnan Chen, Chen Li, Gim Hee Lee
We introduce DiHuR, a novel Diffusion-guided model for generalizable Human 3D Reconstruction and view synthesis from sparse, minimally overlapping images. While existing generaliza…
MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
Yating Xu, Chen Li, Gim Hee Lee
The key challenge of multi-view indoor 3D object detection is to infer accurate geometry information from images for precise 3D detection. Previous method relies on NeRF for geomet…
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly
Mengqi Guo, Chen Li, Yuyang Zhao +1
Inferring step-wise actions to assemble 3D objects with primitive bricks from images is a challenging task due to complex constraints and the vast number of possible combinations.…
Generalizable Human Gaussians from Single-View Image
Jinnan Chen, Chen Li, Jianfeng Zhang +4
In this work, we tackle the task of learning 3D human Gaussians from a single image, focusing on recovering detailed appearance and geometry including unobserved regions. We introd…
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
Hanlin Chen, Fangyin Wei, Chen Li +3
Although 3D Gaussian Splatting has been widely studied because of its realistic and efficient novel-view synthesis, it is still challenging to extract a high-quality surface from t…
Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption
Buzhen Huang, Chen Li, Chongyang Xu +3
Existing multi-person human reconstruction approaches mainly focus on recovering accurate poses or avoiding penetration, but overlook the modeling of close interactions. In this wo…
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
Jie Long Lee, Chen Li, Gim Hee Lee
We present DiSR-NeRF, a diffusion-guided framework for view-consistent super-resolution (SR) NeRF. Unlike prior works, we circumvent the requirement for high-resolution (HR) refere…