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

25 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

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.CV20238 cited

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…

cs.GR20233 cited

Discovering Fatigued Movements for Virtual Character Animation

Noshaba Cheema, Rui Xu, Nam Hee Kim +5

Virtual character animation and movement synthesis have advanced rapidly during recent years, especially through a combination of extensive motion capture datasets and machine lear…

cs.CV20232 cited

EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors

Xinyu Yi, Yuxiao Zhou, Marc Habermann +4

Human and environment sensing are two important topics in Computer Vision and Graphics. Human motion is often captured by inertial sensors, while the environment is mostly reconstr…

cs.CV2022

Neural Radiance Transfer Fields for Relightable Novel-view Synthesis with Global Illumination

Linjie Lyu, Ayush Tewari, Thomas Leimkuehler +2

Given a set of images of a scene, the re-rendering of this scene from novel views and lighting conditions is an important and challenging problem in Computer Vision and Graphics. O…