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3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

3dmv

[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

3net

Repository for "Learning monocular depth estimation with unsupervised trinocular assumptions"

airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

anomalydiffusion

[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

batchrenormalization

Batch Renormalization algorithm implementation in Keras

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

c--

capsnet_tensorflow

centermask2

CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020

corr_tf

An implementation of the FlowNetC correlation layer in tensorflow

crl

Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"

cspn

Convolutional Spatial Propagation Network

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

deeplabv3.pytorch

PyTorch implementation of DeepLabv3

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepvo

DeepVO for Visual Odometry Implementation using Tensorflow

depth

depth-estimation-using-cnn

Simple depth maps obtained by using CNN

depth_refine_reconstruct

demo code and pretrained model for ECCV 2018 paper "Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN"

depthmap_dataset

Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dimension_defects

diversedepth

The code and data of DiverseDepth

dpsnet

[ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

dual-pixel-exploration-simultaneous-depth-estimation-and-image-restoration

CVPR 2021