Photometric optimization code for creating the FLAME texture space and other applications
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Updated
Mar 31, 2022 - Python
Photometric optimization code for creating the FLAME texture space and other applications
MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)
Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"
single 3D shape diffusion model
code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"
code for paper "Learning to Generate 3D Shapes from a Single Example", SIGGRAPH Asia 2022
[ICCV23] SATR: Zero-Shot Semantic Segmentation of 3D Shapes
The implementation of "Learning a Hierarchical Latent-Variable Model of 3D Shapes" [3DV 2018].
Helpers for sketch-based 3D shape retrieval experiments (SHREC13, SHREC14, PART-SHREC14)
Probabilistic Reconstruction Networks
Topological data analytic approach for discovering biophysical signatures in protein dynamics
Testing the pre-trained model provided by Differential Volumetric Renderer repository.
This is a Python library which is used to find area and perimeter of 2D figures like square, rectangle, triangle, circle, ellipse, rhombus, parallelogram, trapezium, pentagon, hexagon, heptagon, octagon, nonagon and decagon You can also find volume, Total surface area and Curved surface are of 3D Figures like cube, cuboid, cylinder, cone, sphere…
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