Cat3d: Create anything in 3d with multi-view diffusion models
Advances in 3D reconstruction have enabled high-quality 3D capture, but require a user to
collect hundreds to thousands of images to create a 3D scene. We present CAT3D, a …
collect hundreds to thousands of images to create a 3D scene. We present CAT3D, a …
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior
3D Gaussians have recently emerged as an efficient representation for novel view synthesis.
This work studies its editability with a particular focus on the inpainting task, which aims to …
This work studies its editability with a particular focus on the inpainting task, which aims to …
FlashTex: Fast Relightable Mesh Texturing with LightControlNet
Manually creating textures for 3D meshes is time-consuming, even for expert visual content
creators. We propose a fast approach for automatically texturing an input 3D mesh based on …
creators. We propose a fast approach for automatically texturing an input 3D mesh based on …
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
Novel View Synthesis (NVS) and 3D generation have recently achieved prominent
improvements. However, these works mainly focus on confined categories or synthetic 3D …
improvements. However, these works mainly focus on confined categories or synthetic 3D …
View-consistent Object Removal in Radiance Fields
Radiance Fields (RFs) have emerged as a crucial technology for 3D scene representation,
enabling the synthesis of novel views with remarkable realism. However, as RFs become …
enabling the synthesis of novel views with remarkable realism. However, as RFs become …
3D Hole Filling using Deep Learning Inpainting
M Hernández-Bautista, FJ Melero - arXiv preprint arXiv:2407.17896, 2024 - arxiv.org
The current work presents a novel methodology for completing 3D surfaces produced from
3D digitization technologies in places where there is a scarcity of meaningful geometric …
3D digitization technologies in places where there is a scarcity of meaningful geometric …
3D StreetUnveiler with Semantic-Aware 2DGS
Unveiling an empty street from crowded observations captured by in-car cameras is crucial
for autonomous driving. However, removing all temporary static objects, such as stopped …
for autonomous driving. However, removing all temporary static objects, such as stopped …
Semantic UV mapping to improve texture inpainting for indoor scenes
This work aims to improve texture inpainting after clutter removal in scanned indoor meshes.
This is achieved with a new UV mapping pre-processing step which leverages semantic …
This is achieved with a new UV mapping pre-processing step which leverages semantic …
[PDF][PDF] Semantic UV mapping to improve texture inpainting for 3D scanned indoor scenes
This work aims to improve texture inpainting following clutter removal in scanned indoor
meshes. This is achieved through a new UV mapping pre-processing step that leverages …
meshes. This is achieved through a new UV mapping pre-processing step that leverages …
[PDF][PDF] A Data-Centric Module for Neural Rendering
Recent advances in Novel-View Synthesis (NVS) and 3D Generation (3DGen) from 2D
images have marked significant progress in various domains. While the Structure-from …
images have marked significant progress in various domains. While the Structure-from …