3 citations · 4 across the 6 of their papers we have counts for
6 papers
FlowSSC: Universal Generative Monocular Semantic Scene Completion via One-Step Latent Diffusion
Zichen Xi, Hao-Xiang Chen, Nan Xue +5
Semantic Scene Completion (SSC) from monocular RGB images is a fundamental yet challenging task due to the inherent ambiguity of inferring occluded 3D geometry from a single view.…
NeuralSSD: A Neural Solver for Signed Distance Surface Reconstruction
Zi-Chen Xi, Jiahui Huang, Hao-Xiang Chen +4
We proposed a generalized method, NeuralSSD, for reconstructing a 3D implicit surface from the widely-available point cloud data. NeuralSSD is a solver-based on the neural Galerkin…
RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors
Sicong Du, Jiarun Liu, Qifeng Chen +3
A single-pass driving clip frequently results in incomplete scanning of the road structure, making reconstructed scene expanding a critical requirement for sensor simulators to eff…
A New Split Algorithm for 3D Gaussian Splatting
Qiyuan Feng, Gengchen Cao, Haoxiang Chen +3
3D Gaussian splatting models, as a novel explicit 3D representation, have been applied in many domains recently, such as explicit geometric editing and geometry generation. Progres…
SLS4D: Sparse Latent Space for 4D Novel View Synthesis
Qi-Yuan Feng, Hao-Xiang Chen, Qun-Ce Xu +1
Neural radiance field (NeRF) has achieved great success in novel view synthesis and 3D representation for static scenarios. Existing dynamic NeRFs usually exploit a locally dense g…
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene
Haoxiang Chen, Jiahui Huang, Tai-Jiang Mu +1
We present CIRCLE, a framework for large-scale scene completion and geometric refinement based on local implicit signed distance functions. It is based on an end-to-end sparse conv…