desaixie/zeroverse
Official code for NeurIPS 2024 paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data
Zeroverse helps computer vision researchers and 3D content creators generate vast datasets of unique 3D objects with varied shapes and materials. It takes simple commands to define object parameters and outputs diverse 3D models (in .obj, .mtl, .glb formats) and rendered images for training large reconstruction models. This tool is ideal for those needing large-scale, synthetically generated 3D data.
153 stars. No commits in the last 6 months.
Use this if you need to create a large dataset of procedurally generated 3D objects and their rendered views for machine learning research or 3D asset development.
Not ideal if you need to generate highly realistic, photogrammetry-based 3D models of real-world objects or require specific, artist-designed models.
Stars
153
Forks
11
Language
Python
License
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Category
Last pushed
Oct 07, 2024
Commits (30d)
0
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