MeshCoder: LLM Generates Blender Mesh Code
In this AI Research Roundup episode, Alex discusses the paper:
'MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds'
MeshCoder reconstructs editable 3D object programs directly from point clouds, surpassing prior DSL-limited shape-program methods. It introduces an expressive Blender Python API for complex geometry, a large-scale pipeline producing ~10M part point cloud–code pairs, and a multimodal LLM that outputs executable scripts decomposed into semantic parts. The model tokenizes point clouds via a triplane-based encoder and uses a finetuned Llama-3.2-1B (LoRA) to autoregress code. Object-level reconstruction leverages part decomposition and aggregation to build full, multi-part meshes.
Paper URL: https://arxiv.org/abs/2508.14879
#AI #MachineLearning #DeepLearning #PointClouds #Blender #3DReconstruction #LLM
Resources:
GitHub: https://github.com/ZhaoyangLyu/MeshCoder
On this page of the site you can watch the video online MeshCoder: LLM Generates Blender Mesh Code with a duration of hours minute second in good quality, which was uploaded by the user AI Research Roundup 21 August 2025, share the link with friends and acquaintances, this video has already been watched 269 times on youtube and it was liked by 6 viewers. Enjoy your viewing!
