most citedWonder3D: Single Image to 3D using Cross-Domain Diffusion

25 citations · 48 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV202421 cited

GaussianPro: 3D Gaussian Splatting with Progressive Propagation

Kai Cheng, Xiaoxiao Long, Kaizhi Yang +5

The advent of 3D Gaussian Splatting (3DGS) has recently brought about a revolution in the field of neural rendering, facilitating high-quality renderings at real-time speed. Howeve…

cs.RO2024

RealDex: Towards Human-like Grasping for Robotic Dexterous Hand

Yumeng Liu, Yaxun Yang, Youzhuo Wang +9

In this paper, we introduce RealDex, a pioneering dataset capturing authentic dexterous hand grasping motions infused with human behavioral patterns, enriched by multi-view and mul…

cs.CV2023

GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces

Yingwenqi Jiang, Jiadong Tu, Yuan Liu +4

The advent of neural 3D Gaussians has recently brought about a revolution in the field of neural rendering, facilitating the generation of high-quality renderings at real-time spee…

cs.CV202325 cited

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin +8

In this work, we introduce Wonder3D, a novel method for efficiently generating high-fidelity textured meshes from single-view images.Recent methods based on Score Distillation Samp…

cs.CV20232 cited

Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training

Runnan Chen, Xinge Zhu, Nenglun Chen +6

Current successful methods of 3D scene perception rely on the large-scale annotated point cloud, which is tedious and expensive to acquire. In this paper, we propose Model2Scene, a…