37 citations · 95 across the 11 of their papers we have counts for
7 papers
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…
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
Youngjoong Kwon, Lingjie Liu, Henry Fuchs +2
Generating controllable and photorealistic digital human avatars is a long-standing and important problem in Vision and Graphics. Recent methods have shown great progress in terms…
State of the Art on Diffusion Models for Visual Computing
Ryan Po, Wang Yifan, Vladislav Golyanik +15
The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, edi…
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.…
F-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
Peng Wang, Yuan Liu, Zhaoxi Chen +5
This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-NeRF) for novel view synthesis, which enables arbitrary input camera trajectories and only costs a few minutes…
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin +4
Novel view synthesis from a single image requires inferring occluded regions of objects and scenes whilst simultaneously maintaining semantic and physical consistency with the inpu…