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20212026
most citedWonder3D: Single Image to 3D using Cross-Domain Diffusion

25 citations · 67 across the 62 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.CV2023

MACS: Mass Conditioned 3D Hand and Object Motion Synthesis

Soshi Shimada, Franziska Mueller, Jan Bednarik +7

The physical properties of an object, such as mass, significantly affect how we manipulate it with our hands. Surprisingly, this aspect has so far been neglected in prior work on 3…

cs.CV2023

3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera

Christen Millerdurai, Diogo Luvizon, Viktor Rudnev +4

3D hand tracking from a monocular video is a very challenging problem due to hand interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods rely o…

cs.CV2023★ 1 cited

TriHuman : A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesis

Heming Zhu, Fangneng Zhan, Christian Theobalt +1

Creating controllable, photorealistic, and geometrically detailed digital doubles of real humans solely from video data is a key challenge in Computer Graphics and Vision, especial…

cs.CV2023

Relightable Neural Actor with Intrinsic Decomposition and Pose Control

Diogo Luvizon, Vladislav Golyanik, Adam Kortylewski +2

Creating a controllable and relightable digital avatar from multi-view video with fixed illumination is a very challenging problem since humans are highly articulated, creating pos…

cs.CV2023★ 2 cited

Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras

Ashwath Shetty, Marc Habermann, Guoxing Sun +3

We present the first approach to render highly realistic free-viewpoint videos of a human actor in general apparel, from sparse multi-view recording to display, in real-time at an…

cs.CV2023★ 4 cited

ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering

Haokai Pang, Heming Zhu, Adam Kortylewski +2

Real-time rendering of photorealistic and controllable human avatars stands as a cornerstone in Computer Vision and Graphics. While recent advances in neural implicit rendering hav…

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

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

Yu Chi, Fangneng Zhan, Sibo Wu +2

Progress in 3D computer vision tasks demands a huge amount of data, yet annotating multi-view images with 3D-consistent annotations, or point clouds with part segmentation is both…

cs.GR2023★ 2 cited

NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory

Navami Kairanda, Marc Habermann, Christian Theobalt +1

Despite existing 3D cloth simulators producing realistic results, they predominantly operate on discrete surface representations (e.g. points and meshes) with a fixed spatial resol…