metadata
library_name: pytorch
license: cc-by-nc-4.0
tags:
- pbr
- texture-generation
- material-generation
- 3d
- matlat
MatLat Pretrained Checkpoints
Pretrained submission-version checkpoints for MatLat: Material Latent Space for PBR Texture Generation.
matvae_v.ours.pt: MatVAE material autoencoder checkpoint (global_step=200000).matdiff_v.ours.safetensors: MatDiff text- and geometry-conditioned diffusion checkpoint.
Use them with the official code.
Download
mkdir -p checkpoints
hf download 32V/MatLat \
matvae_v.ours.pt \
matdiff_v.ours.safetensors \
--revision v1.0.0 \
--local-dir checkpoints
Inference
Run from the root of the MatLat code repository:
python inference.py \
--config configs/submission/matdiff_v.ours.yaml \
--weights checkpoints/matdiff_v.ours.safetensors \
--mesh assets/motorcycle_cafe_racer/motorcycle_cafe_racer.obj \
--prompt "a matte olive green cafe racer motorcycle with brushed steel parts" \
--guidance 5.0 \
--steps 30 \
--seed 42 \
--precision bf16 \
--out outputs/demo
The MatVAE path and submission camera directions are selected by
configs/submission/matdiff_v.ours.yaml.
License
The MatLat checkpoint weights are released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). The license permits sharing and adaptation with appropriate attribution for non-commercial purposes. It does not relicense third-party software or model dependencies used by the official code.
File Integrity
f2c0d886823d7f11fe97220503ce08069e7c1b84915b27597a198bdce307e1e9 matvae_v.ours.pt
4f464112834f3a3d621cb780078e341026a62f700cec04ad7a20bc2d414dbb43 matdiff_v.ours.safetensors
Citation
@inproceedings{yeo2026matlat,
title = {MatLat: Material Latent Space for PBR Texture Generation},
author = {Yeo, Kyeongmin and Min, Yunhong and Kim, Jaihoon and Sung, Minhyuk},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2026},
}