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Text to image synthesis using thought vectors
Computation using data flow graphs for scalable machine learning
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Caffe: a fast open framework for deep learning.
Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...
Repositories
61Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code of π^3: Scalable Permutation-Equivariant Visual Geometry Learning
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
No description provided.
Text to image synthesis using thought vectors
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
No description provided.
COLMAP - Structure-from-Motion and Multi-View Stereo
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
Assignment skeleton for course on Discrete Differential Geometry (15-458/858)
Code release for NeRF (Neural Radiance Fields)
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Go Go ! For ICCV
Webpage of Joint Monocular 3D Detection and Tracking
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Computation using data flow graphs for scalable machine learning
Caffe: a fast open framework for deep learning.
Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...
shell scripts to install different version of OpenCV in different distributions of Linux
Google AI Research
Code for paper "StructureFlow: Image Inpainting via Structure-aware Appearance Flow"
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212
Pytorch version of SfmLearner from Tinghui Zhou et al.
No description provided.
The Places365-CNNs for Scene Classification
Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".
Datasets, Transforms and Models specific to Computer Vision
Neural Network Toolbox on TensorFlow
SSD detection for KITTI