| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Tue, 12 Mar 2024 00:36:32 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"65efa390-175f"
expires: Tue, 30 Dec 2025 10:23:20 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 1308:36A0B4:9F1311:B2A23C:6953A5BF
accept-ranges: bytes
age: 0
date: Tue, 30 Dec 2025 10:13:20 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210096-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1767089600.013183,VS0,VE219
vary: Accept-Encoding
x-fastly-request-id: bf2e2e2eea7a7854a38c40657fa1a09d71fe5c7a
content-length: 1678
Single Mesh Diffusion Models with Field Latents for Texture Generation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Single Mesh Diffusion Models with Field Latents for Texture Generation
1PlayStation,
2Google Research
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Results
See the paper for high resolution renders.
Reference
@article{mitchel2023meshdiffusion,
author = {Mitchel, Thomas W. and Esteves, Carlos and Makadia, Ameesh},
title = {Single Mesh Diffusion Models with Field Latents for Texture Generation},
year = {2023},
eprint = {2312.09250},
archivePrefix = {arXiv},
primaryClass = {cs.CV}
}