activity
20202026
most citedSyncDreamer: Generating Multiview-consistent Images from a Single-view Image

51 citations · 196 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.CV2023

UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving

Kai Cheng, Xiaoxiao Long, Wei Yin +6

Multi-camera setups find widespread use across various applications, such as autonomous driving, as they greatly expand sensing capabilities. Despite the fast development of Neural…

cs.CV2023★ 4 cited

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.CV2023★ 25 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.CV2023★ 2 cited

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

Zhengming Yu, Zhiyang Dou, Xiaoxiao Long +9

We present Surf-D, a novel method for generating high-quality 3D shapes as Surfaces with arbitrary topologies using Diffusion models. Previous methods explored shape generation wit…

cs.CV2023★ 51 cited

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Yuan Liu, Cheng Lin, Zijiao Zeng +4

In this paper, we present a novel diffusion model called that generates multiview-consistent images from a single-view image. Using pretrained large-scale 2D diffusion models, rece…

cs.CV2023★ 3 cited

NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

Yuan Liu, Peng Wang, Cheng Lin +5

We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment.…

cs.CV2023★ 1 cited

NeTO:Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing

Zongcheng Li, Xiaoxiao Long, Yusen Wang +4

We present a novel method, called NeTO, for capturing 3D geometry of solid transparent objects from 2D images via volume rendering. Reconstructing transparent objects is a very cha…