Alternatives and similar repositories for convolutional_occupancy_networks

Users that are interested in convolutional_occupancy_networks are comparing it to the libraries listed below

• autonomousvision / occupancy_networks
  This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
  ☆1,633Updated 2 years ago
• yinyunie / 3D-Shape-Analysis-Paper-List
  A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
  ☆957Updated last year
• Xharlie / pointnerf
  Point-NeRF: Point-based Neural Radiance Fields
  ☆1,148Updated last year
• dazinovic / neural-rgbd-surface-reconstruction
  Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"
  ☆611Updated 3 months ago
• autonomousvision / shape_as_points
  [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
  ☆625Updated 3 years ago
• autonomousvision / differentiable_volumetric_rendering
  This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…
  ☆826Updated 4 years ago
• ventusff / neurecon
  Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
  ☆859Updated 4 years ago
• nv-tlabs / NKSR
  [CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
  ☆893Updated last month
• chrischoy / DeepGlobalRegistration
  [CVPR 2020 Oral] A differentiable framework for 3D registration
  ☆539Updated 2 years ago
• chrischoy / FCGF
  Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
  ☆709Updated 4 years ago
• ErlerPhilipp / points2surf
  Learning Implicit Surfaces from Point Clouds (ECCV 2020)
  ☆502Updated 3 months ago
• krrish94 / chamferdist
  Pytorch package to compute Chamfer distance between point sets (pointclouds).
  ☆347Updated last year
• GAP-LAB-CUHK-SZ / Total3DUnderstanding
  Implementation of CVPR'20 Oral: Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single I…
  ☆442Updated last year
• andyzeng / tsdf-fusion-python
  Python code to fuse multiple RGB-D images into a TSDF voxel volume.
  ☆1,380Updated 2 years ago
• Colin97 / MSN-Point-Cloud-Completion
  Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)
  ☆438Updated 3 years ago
• facebookresearch / DeepSDF
  Learning Continuous Signed Distance Functions for Shape Representation
  ☆1,506Updated 3 years ago
• vinits5 / learning3d
  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
  ☆844Updated 4 months ago
• fwilliams / point-cloud-utils
  An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
  ☆1,509Updated 2 months ago
• facebookresearch / NSVF
  Open source code for the paper of Neural Sparse Voxel Fields.
  ☆817Updated 2 years ago
• lioryariv / idr
  ☆730Updated 4 years ago
• ranahanocka / point2mesh
  Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
  ☆1,214Updated 2 years ago
• zju3dv / NeuralRecon-W
  Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)
  ☆702Updated 3 years ago
• dunbar12138 / DSNeRF
  Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)
  ☆778Updated last year
• ThibaultGROUEIX / ChamferDistancePytorch
  Chamfer Distance in Pytorch with f-score
  ☆371Updated 4 years ago
• panmari / stanford-shapenet-renderer
  Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.
  ☆539Updated 3 years ago
• itailang / SampleNet
  Differentiable Point Cloud Sampling (CVPR 2020 Oral)
  ☆388Updated 2 years ago
• zju3dv / manhattan_sdf
  Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral
  ☆524Updated 2 years ago
• Kai-46 / nerfplusplus
  improves over nerf in 360 capture of unbounded scenes
  ☆945Updated 3 years ago
• alexsax / 2D-3D-Semantics
  The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding
  ☆514Updated 6 years ago
• mrakotosaon / pointcleannet
  ☆278Updated 5 years ago