Texture++

This repository contains the local super-resolution model used by Texture++: Elevating 3D Asset Texture Resolution with a Region-Aware Diffusion Model (SIGGRAPH Asia 2026).

File structure

unet/
β”œβ”€β”€ config.json
└── diffusion_pytorch_model.safetensors
vae/
β”œβ”€β”€ config.json
└── diffusion_pytorch_model.safetensors
text_encoder/
β”œβ”€β”€ config.json
└── model.safetensors
tokenizer/
β”œβ”€β”€ merges.txt
β”œβ”€β”€ special_tokens_map.json
β”œβ”€β”€ tokenizer.json
β”œβ”€β”€ tokenizer_config.json
└── vocab.json

The U-Net is fine-tuned from Stable Diffusion 2.1-base and takes a 5-channel input (4-channel latent + 1-channel mask). The VAE and text encoder are frozen.

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Model size
0.9B params
Tensor type
F32
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