GAP-LAB-CUHK-SZ / Total3DUnderstandingLinks
Implementation of CVPR'20 Oral: Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
β439Updated last year
Alternatives and similar repositories for Total3DUnderstanding
Users that are interested in Total3DUnderstanding are comparing it to the libraries listed below
Sorting:
- πΈοΈ [CVPR'21] Official PyTorch code of Holistic 3D Scene Understanding from a Single Image with Implicit Representation. Also includes a β¦β218Updated 4 years ago
- Implementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstructionβ216Updated last year
- [ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modelingβ613Updated 8 months ago
- Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"β611Updated 2 months ago
- [ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereoβ439Updated 11 months ago
- Official implementation of the NeurIPS 2021 paper "Panoptic 3D Scene Reconstruction from a Single RGB Image"β209Updated last year
- Official Code: 3D Scene Reconstruction from a Single Viewportβ308Updated 3 years ago
- [CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scansβ469Updated 8 months ago
- Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oralβ524Updated 2 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstructionβ310Updated 4 years ago
- Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)β702Updated 2 years ago
- BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networksβ627Updated last month
- PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB imageβ594Updated 3 years ago
- PyTorch implementation of our IJCV paper: "Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-β¦β233Updated 3 years ago
- [ICCV'21] UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructionβ421Updated last year
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.β537Updated 3 years ago
- Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.β858Updated 4 years ago
- [ECCV'20] Convolutional Occupancy Networksβ886Updated 2 years ago
- [NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstructionβ603Updated 2 years ago
- [CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embeddingβ372Updated last year
- [ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields forβ¦β693Updated 4 months ago
- β727Updated 4 years ago
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstructionβ186Updated 3 years ago
- Official code for ROCA: Robust CAD Model Retrieval and Alignment from a Single Image (CVPR 2022)β196Updated last year
- Code for NeurIPS 2018: Cooperative Holisctic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimationβ108Updated 6 years ago
- [CVPR'20] SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scansβ191Updated 4 years ago
- Pix3D: Dataset and Methods for Single-Image 3D Shape Modelingβ521Updated 4 years ago
- Code for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021β313Updated last year
- Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)β774Updated last year
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).β955Updated last year