shivamsaboo17 / Neural-Scene-Representation-and-RenderingLinks
Generative Query Network for rendering 3D scenes from 2D images
☆46Updated 7 years ago
Alternatives and similar repositories for Neural-Scene-Representation-and-Rendering
Users that are interested in Neural-Scene-Representation-and-Rendering are comparing it to the libraries listed below
Sorting:
- GibsonSim2RealChallenge @ CVPR2020☆35Updated 5 years ago
- Learning Spatial Common Sense with Geometry-Aware Recurrent Networks☆55Updated 5 years ago
- ☆13Updated 6 years ago
- PyTorch implementation of 'SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation' ICCV 2019☆97Updated 5 years ago
- ☆40Updated 6 years ago
- PyTorch Implementation of GRASS☆91Updated 5 years ago
- Code for CVPR2018 - Human-centric Indoor Scene Synthesis Using Stochastic Grammar.☆89Updated 7 years ago
- DDSL: Deep Differential Simplex Layer for Neural Networks☆55Updated 4 years ago
- The Toolkit for 3D Vision (tk3dv) is a collection of tools for deep learning and 3D computer vision.☆27Updated 3 years ago
- ☆71Updated 4 years ago
- The reference implementation of "Unsupervised Learning of Shape and Pose with Differentiable Point Clouds"☆158Updated 6 years ago
- Project of Siggraph Asia 2020 paper: Scene Mover: Automatic Move Planning for Scene Arrangement by Deep Reinforcement Learning☆96Updated 4 years ago
- PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".☆149Updated 4 years ago
- [ICLR 2019] Learning to Infer and Execute 3D Shape Programs☆112Updated 3 years ago
- Differentiable MPM Simulator☆101Updated 5 years ago
- The Enhanced PartNet Dataset with Symmetry Hierarchy (PartNet-Symh)☆39Updated 4 years ago
- Code for "Benchmarking Classic and Learned Navigation in Complex 3D Environments" paper☆65Updated 6 years ago
- Scalable Differentiable Physics for Learning and Control (ICML2020)☆181Updated last year
- Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs☆157Updated 5 years ago
- Modelling 3D structure from Images☆29Updated 5 years ago
- Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies☆108Updated 2 years ago
- Code release for "Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction"☆118Updated 6 years ago
- [ICLR 2019] Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids☆132Updated 5 years ago
- Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019☆148Updated last year
- Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020☆173Updated 4 years ago
- Adding positional encoding to the input preserves sharp edges in the image☆208Updated 3 years ago
- Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"☆53Updated 10 months ago
- https://robotmlcourse.github.io/SP20/index.html☆14Updated 5 years ago
- A python class that calculates chamfer distance between point clouds using tensorflow☆78Updated 7 years ago
- PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions☆47Updated 5 years ago