Nerf-editing: geometry editing of neural radiance fields

YJ Yuan, YT Sun, YK Lai, Y Ma… - Proceedings of the …, 2022 - openaccess.thecvf.com
Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …

Drivable 3d gaussian avatars

W Zielonka, T Bagautdinov, S Saito, M Zollhöfer… - arxiv preprint arxiv …, 2023 - arxiv.org
We present Drivable 3D Gaussian Avatars (D3GA), the first 3D controllable model for human
bodies rendered with Gaussian splats. Current photorealistic drivable avatars require either …

Geometry processing with neural fields

G Yang, S Belongie, B Hariharan… - Advances in Neural …, 2021 - proceedings.neurips.cc
Most existing geometry processing algorithms use meshes as the default shape
representation. Manipulating meshes, however, requires one to maintain high quality in the …

Approximate convex decomposition for 3d meshes with collision-aware concavity and tree search

X Wei, M Liu, Z Ling, H Su - ACM Transactions on Graphics (TOG), 2022 - dl.acm.org
Approximate convex decomposition aims to decompose a 3D shape into a set of almost
convex components, whose convex hulls can then be used to represent the input shape. It …

Image sculpting: Precise object editing with 3d geometry control

J Yenphraphai, X Pan, S Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract We present Image Sculpting a new framework for editing 2D images by
incorporating tools from 3D geometry and graphics. This approach differs markedly from …

An end-to-end differentiable framework for contact-aware robot design

J Xu, T Chen, L Zlokapa, M Foshey, W Matusik… - arxiv preprint arxiv …, 2021 - arxiv.org
The current dominant paradigm for robotic manipulation involves two separate stages:
manipulator design and control. Because the robot's morphology and how it can be …

Inversecsg: Automatic conversion of 3d models to csg trees

T Du, JP Inala, Y Pu, A Spielberg, A Schulz… - ACM Transactions on …, 2018 - dl.acm.org
While computer-aided design is a major part of many modern manufacturing pipelines, the
design files typically generated describe raw geometry. Lost in this representation is the …

Rignet: Neural rigging for articulated characters

Z Xu, Y Zhou, E Kalogerakis, C Landreth… - arxiv preprint arxiv …, 2020 - arxiv.org
We present RigNet, an end-to-end automated method for producing animation rigs from
input character models. Given an input 3D model representing an articulated character …

Neural shape deformation priors

J Tang, L Markhasin, B Wang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Abstract We present Neural Shape Deformation Priors, a novel method for shape
manipulation that predicts mesh deformations of non-rigid objects from user-provided …

A laplacian for nonmanifold triangle meshes

N Sharp, K Crane - Computer Graphics Forum, 2020 - Wiley Online Library
We describe a discrete Laplacian suitable for any triangle mesh, including those that are
nonmanifold or nonorientable (with or without boundary). Our Laplacian is a robust drop‐in …