isl-org / vision-for-actionLinks
Code to accompany "Does computer vision matter for action?"
☆43Updated 9 months ago
Alternatives and similar repositories for vision-for-action
Users that are interested in vision-for-action are comparing it to the libraries listed below
Sorting:
- Learning from Unlabelled Videos using Contrastive Predictive Neural 3D Mapping☆30Updated 2 years ago
- ☆13Updated 5 years ago
- Code for Canonical 3D Deformable Mapping (C3DM) paper☆19Updated 3 years ago
- Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation (ECCV 2020)☆33Updated last year
- ☆12Updated 6 years ago
- Unsupervised Training of DepthNet☆60Updated 4 years ago
- Official PyTorch Implementation for "Sequential Forecasting of 100,000 Points", In Submission☆25Updated 5 years ago
- Neural-Guided, Differentiable RANSAC for Horizon Line Estimation☆36Updated 2 years ago
- Code for the CVPR 2020 paper "OASIS: A Large-Scale Dataset for Single Image 3D in the Wild"☆66Updated 3 years ago
- Models and Loss functions for our Mixed Classification-Regression framework for 3D Pose Estimation☆31Updated 6 years ago
- Code for "PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation"☆60Updated 5 years ago
- ☆26Updated last year
- MessyTable: Instance Association in Multiple Camera Views☆37Updated 3 years ago
- Attacking Optical Flow (ICCV 2019)☆59Updated 5 years ago
- Inferring distributions over depth from a single image, IROS 2019☆39Updated last year
- Monocular depth estimation from a single image☆21Updated 5 years ago
- Public repository for paper "Finding Your (3D) Center: 3D object detection using a learned loss"☆17Updated 2 years ago
- ☆43Updated 4 years ago
- Deep Directional Statistics: Pose Estimation with Uncertainty Quantification☆22Updated 5 years ago
- Learning Spatial Common Sense with Geometry-Aware Recurrent Networks☆55Updated 5 years ago
- ☆43Updated 3 years ago
- Implementation for the Neural Rerendering in the Wild paper☆28Updated 5 years ago
- ☆12Updated 8 years ago
- Video Panoptic Segmentation☆16Updated 5 years ago
- ☆45Updated 6 years ago
- See and Think: Disentangling Semantic Scene Completion☆50Updated 6 years ago
- Use the Force Luke! Learning to Predict Physical Forces by Simulating Effects [CVPR2020] (https://arxiv.org/pdf/2003.12045.pdf)☆73Updated last year
- Code for the NeurIPS '20 paper "Unsupervised object-centric video generation and decomposition in 3D"☆9Updated 4 years ago
- Repository of data and tools for the AdobeIndoorNav dataset☆36Updated 7 years ago
- ☆50Updated 5 years ago