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 …

Nerfshop: Interactive editing of neural radiance fields

C Jambon, B Kerbl, G Kopanas, S Diolatzis… - Proceedings of the …, 2023 - inria.hal.science
Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …

Neuraleditor: Editing neural radiance fields via manipulating point clouds

JK Chen, J Lyu, YX Wang - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
This paper proposes NeuralEditor that enables neural radiance fields (NeRFs) natively
editable for general shape editing tasks. Despite their impressive results on novel-view …

Deep generative models on 3d representations: A survey

Z Shi, S Peng, Y Xu, A Geiger, Y Liao… - arxiv preprint arxiv …, 2022 - arxiv.org
Generative models aim to learn the distribution of observed data by generating new
instances. With the advent of neural networks, deep generative models, including variational …

Editablenerf: Editing topologically varying neural radiance fields by key points

C Zheng, W Lin, F Xu - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Neural radiance fields (NeRF) achieve highly photo-realistic novel-view synthesis, but it's a
challenging problem to edit the scenes modeled by NeRF-based methods, especially for …

Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes

R Yunus, JE Lenssen, M Niemeyer… - Computer Graphics …, 2024 - Wiley Online Library
Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Interactive nerf geometry editing with shape priors

YJ Yuan, YT Sun, YK Lai, Y Ma, R Jia… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Neural Radiance Fields (NeRFs) have shown great potential for tasks like novel view
synthesis of static 3D scenes. Since NeRFs are trained on a large number of input images, it …

Tm-net: Deep generative networks for textured meshes

L Gao, T Wu, YJ Yuan, MX Lin, YK Lai… - ACM Transactions on …, 2021 - dl.acm.org
We introduce TM-NET, a novel deep generative model for synthesizing textured meshes in a
part-aware manner. Once trained, the network can generate novel textured meshes from …

Partdistill: 3d shape part segmentation by vision-language model distillation

A Umam, CK Yang, MH Chen… - Proceedings of the …, 2024 - openaccess.thecvf.com
This paper proposes a cross-modal distillation framework PartDistill which transfers 2D
knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation …

Tailor3d: Customized 3d assets editing and generation with dual-side images

Z Qi, Y Yang, M Zhang, L **ng, X Wu, T Wu… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advances in 3D AIGC have shown promise in directly creating 3D objects from text
and images, offering significant cost savings in animation and product design. However …