Alternatives and similar repositories for vnn-neural-implicits:

Users that are interested in vnn-neural-implicits are comparing it to the libraries listed below

• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated last year
• yunlu-chen / equivariant-graph-implicit
  Updated 3 months ago
• FlyingGiraffe / vnn-pc
  Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet
  ☆31Updated 2 years ago
• mikacuy / joint_learning_retrieval_deformation
  Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021
  ☆55Updated 3 years ago
• amirhertz / pointgmm
  ☆52Updated 4 years ago
• mikacuy / deformation_aware_embedding
  Deformation-Aware 3D Model Embedding and Retrieval, ECCV 2020
  ☆54Updated 3 years ago
• alexeybokhovkin / part-based-scan-understanding
  Towards Part-Based Understanding of RGB-D Scans
  ☆30Updated 3 years ago
• wangxiaogang866 / Shape2Motion
  Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
  ☆37Updated 3 years ago
• daerduoCarey / pt2pc
  PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
  ☆47Updated 4 years ago
• drsrinathsridhar / xnocs
  Multiview Aggregation for Learning Category-Specific Shape Reconstruction, NeurIPS 2019
  ☆38Updated 5 years ago
• yifita / pytorch_points
  a pytorch extension for learning point clouds
  ☆35Updated 4 years ago
• JitengMu / A-SDF
  A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)
  ☆90Updated 2 years ago
• nintendops / EPN_PointCloud
  PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
  ☆110Updated 2 years ago
• paschalidoud / hierarchical_primitives
  Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020
  ☆97Updated 3 years ago
• SimingYan / HPNet
  [ICCV 2021] "HPNet: Deep Primitive Segmentation Using Hybrid Representations"
  ☆67Updated last year
• mhsung / complement-me
  ☆31Updated 2 years ago
• Salingo / RPM-Net
  [SIGGRAPH Asia 2019] RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud
  ☆28Updated last year
• xheon / JointEmbedding
  [ICCV'19] Joint Embedding of 3D Scan and CAD Objects
  ☆60Updated 3 years ago
• JiahuiLei / EFEM
  ☆29Updated last year
• huangjh-pub / multibody-sync
  [CVPR'21 Oral] MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
  ☆61Updated 2 years ago
• SimingYan / Hybrid_Relative_Pose
  [CVPR 2020] "Extreme Relative Pose Network under Hybrid Representations"
  ☆24Updated 5 years ago
• haidongz-usc / Curriculum-DeepSDF
  Implementation for Curriculum DeepSDF
  ☆87Updated 5 years ago
• JYChen18 / RPMG
  [CVPR 2022] Projective Manifold Gradient Layer For Deep Rotation Regression
  ☆67Updated 9 months ago
• JiahuiLei / Pix2Surf
  ☆43Updated 4 years ago
• vsitzmann / shapenet_renderer
  A clean, compact renderer for spherical images of shapenet objects in blender <2.8.
  ☆75Updated 3 years ago
• chrdiller / mitsuba-visualize
  Visualizes meshes, pointclouds and video flythroughs in publication quality
  ☆113Updated 4 years ago
• daerduoCarey / structedit
  StructEdit: Learning Structural Shape Variations
  ☆36Updated 5 years ago
• nileshkulkarni / volumetricPrimitivesPytorch
  Pytorch Implementation of https://github.com/shubhtuls/volumetricPrimitives
  ☆55Updated 6 years ago
• bach-zouk / Weakly-supervised-Deep-Functional-map
  Neurips 2020 paper on weakly supervised deep functional maps for shape matching
  ☆26Updated 4 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆37Updated last year