JamieWatson683

JamieWatson683's starred repositories

airplanes

[CVPR 2024] AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings

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ace

[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses

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implicit-depth

[CVPR 2023] Virtual Occlusions Through Implicit Depth

Language:PythonNOASSERTION7800

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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simplerecon

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

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wavelet-monodepth

[CVPR 2021] Monocular depth estimation using wavelets for efficiency

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pytorch_scatter

PyTorch Extension Library of Optimized Scatter Operations

Language:PythonMIT153600

manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

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PyICP-SLAM

Full-python LiDAR SLAM using ICP and Scan Context

Language:Python50800

cc

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

Language:PythonMIT51200

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Language:PythonMIT784800

rectified-features

[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

NOASSERTION6300

stereo-from-mono

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

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YouTube3D

Code for the CVPR 2019 paper "Learning Single-Image Depth from Videos using Quality Assessment Networks"

Language:PythonBSD-3-Clause10600

python-torchfile

Deserialize Lua torch-serialized objects from Python

Language:PythonBSD-3-Clause21600

surface_normals

Code for the ICCV 2017 paper "Surface Normals in the Wild"

Language:LuaBSD-3-Clause3300

footprints

[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image

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depth-hints

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

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pytorch-liteflownet

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

Language:PythonGPL-3.040600

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

Language:Jupyter NotebookNOASSERTION409600