evadalak Goto Github PK

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evadalak's Projects

3d-model-convert-to-gltf

Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression

3d-shape-retrieval

针对三维模型检索，并采用卷积神经网络，提出两个算法：1.采用体素化深层特征进行训练。2. 采用虚拟摄像机抓取多角度视图特征进行训练。

3d_compression-games102_assignment

GAMES102_Assignment

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

3d_simplification-meshpooling

Code for 'Mesh Variational Autoencoders with Edge Contraction Pooling'

3d_simplification-nvdiffmodeling_for_me

The repository forked from NVlabs uses our data. (Differentiable rasterization applied to 3D model simplification tasks)

3d_step_classification

A new approach for retrieval and classification of 3D models that directly performs in the CAD format without any format conversion to other representations like point clouds of meshes, thus avoiding any loss of information.

abspy

A Python tool for 3D adaptive binary space partitioning and beyond

acmalgorithms

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠