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TencentARC / Assembler
Model's Last Updated: October 16 2025
Introduction of Assembler
Model Details of Assembler
Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion
Wang Zhao 1 , Yan-Pei Cao 2 , Jiale Xu 1 , Yuejiang Dong 1,3 , Ying Shan 1
1 ARC Lab, Tencent PCG 2 VAST 3 Tsinghua University
SIGGRAPH ASIA 2025
🚩 Overview
This repository contains code release for our SIGGRAPH ASIA 2025 paper "Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion".
⚙️ Installation
We recommend using anaconda to install the dependencies:
conda create -n assembler python=3.10.16
conda activate assembler
conda install pytorch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 pytorch-cuda=12.4 -c pytorch -c nvidia
pip install -r requirements.txt
🚀 Usage
Inference
To run the inference demo, simply use:
python ./scripts/demo.py --config ./configs/demo/demo.yaml --input_dir ./examples/4ef447cbb4a72f0a0e5941c9073c4baa0babd3f93ec55d62b040915f8bf3f49c --output_dir ./outputs/4ef447
This script runs for example data inside
./examples
from Toys4k dataset. You could use your own data to assemble. Put all the part meshes (in GLB format) and reference image (in PNG format) into a single folder, and set the
input_dir
argument to that folder.
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