Lion: Latent point diffusion models for 3d shape generation

A Vahdat, F Williams, Z Gojcic… - Advances in …, 2022 - proceedings.neurips.cc
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …

Texfusion: Synthesizing 3d textures with text-guided image diffusion models

T Cao, K Kreis, S Fidler, N Sharp… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract We present TexFusion (Texture Diffusion), a new method to synthesize textures for
given 3D geometries, using only large-scale text-guided image diffusion models. In contrast …

Texturedreamer: Image-guided texture synthesis through geometry-aware diffusion

YY Yeh, JB Huang, C Kim, L Xiao… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present TextureDreamer a novel image-guided texture synthesis method to transfer
relightable textures from a small number of input images (3 to 5) to target 3D shapes across …

Paint3d: Paint anything 3d with lighting-less texture diffusion models

X Zeng, X Chen, Z Qi, W Liu, Z Zhao… - Proceedings of the …, 2024 - openaccess.thecvf.com
This paper presents Paint3D a novel coarse-to-fine generative framework that is capable of
producing high-resolution lighting-less and diverse 2K UV texture maps for untextured 3D …

Recent advances in implicit representation-based 3d shape generation

JM Sun, T Wu, L Gao - Visual Intelligence, 2024 - Springer
Various techniques have been developed and introduced to address the pressing need to
create three-dimensional (3D) content for advanced applications such as virtual reality and …

Towards garment sewing pattern reconstruction from a single image

L Liu, X Xu, Z Lin, J Liang, S Yan - ACM Transactions on Graphics (TOG), 2023 - dl.acm.org
Garment sewing pattern represents the intrinsic rest shape of a garment, and is the core for
many applications like fashion design, virtual try-on, and digital avatars. In this work, we …

Aigc for various data modalities: A survey

LG Foo, H Rahmani, J Liu - arXiv preprint arXiv:2308.14177, 2023 - arxiv.org
AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …

[PDF][PDF] Ai-generated content (aigc) for various data modalities: A survey

LG Foo, H Rahmani, J Liu - arXiv preprint arXiv:2308.14177, 2023 - researchgate.net
Amidst the rapid advancement of artificial intelligence (AI), the development of content
generation techniques stands out as one of the most captivating and widely discussed topics …

Cadsim: Robust and scalable in-the-wild 3d reconstruction for controllable sensor simulation

J Wang, S Manivasagam, Y Chen, Z Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Realistic simulation is key to enabling safe and scalable development of% self-driving
vehicles. A core component is simulating the sensors so that the entire autonomy system …

GenesisTex: Adapting Image Denoising Diffusion to Texture Space

C Gao, B Jiang, X Li, Y Zhang… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
We present GenesisTex a novel method for synthesizing textures for 3D geometries from text
descriptions. GenesisTex adapts the pretrained image diffusion model to texture space by …