This repository contains code release for our SIGGRAPH ASIA 2025 paper "Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion".

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

To run the inference demo, simply use:

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.