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Nerf-editing: geometry editing of neural radiance fields
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 …
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …
Nerfshop: Interactive editing of neural radiance fields
Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …
Neuraleditor: Editing neural radiance fields via manipulating point clouds
This paper proposes NeuralEditor that enables neural radiance fields (NeRFs) natively
editable for general shape editing tasks. Despite their impressive results on novel-view …
editable for general shape editing tasks. Despite their impressive results on novel-view …
Deep generative models on 3d representations: A survey
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 …
instances. With the advent of neural networks, deep generative models, including variational …
Editablenerf: Editing topologically varying neural radiance fields by key points
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 …
challenging problem to edit the scenes modeled by NeRF-based methods, especially for …
Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes
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 …
real scenes, is essential for computer graphics and computer vision. It enables the …
Interactive nerf geometry editing with shape priors
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 …
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
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 …
part-aware manner. Once trained, the network can generate novel textured meshes from …
Partdistill: 3d shape part segmentation by vision-language model distillation
This paper proposes a cross-modal distillation framework PartDistill which transfers 2D
knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation …
knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation …
Tailor3d: Customized 3d assets editing and generation with dual-side images
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 …
and images, offering significant cost savings in animation and product design. However …