Warwick-Jocelyn

Warwick-Jocelyn's Stars

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k2.7k7.3k45.8k

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23k3481.5k6.3k

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python6.9k49214532

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python3.7k33173314

• SHI-Labs/OneFormer

  OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

  Language:Jupyter Notebook1.5k20116131

• weihaox/awesome-image-translation

  A collection of awesome resources image-to-image translation.

  1.2k640121

• tim-learn/awesome-test-time-adaptation

  Collection of awesome test-time (domain/batch/instance) adaptation methods

  71919149

• Ha0Tang/AttentionGAN

  AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

  Language:Python646123397

• swz30/CycleISP

  [CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

  Language:Python509152774

• Vandermode/ELD

  Physics-based Noise Modeling for Extreme Low-light Photography (CVPR 2020 Oral & TPAMI 2021)

  Language:Python490154666

• wvangansbeke/Sparse-Depth-Completion

  Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

  Language:Python480175277

• alexklwong/awesome-state-of-depth-completion

  Current state of supervised and unsupervised depth completion methods

  42917023

• wyf0912/LLFlow

  [AAAI 2022] The code release of paper "AAAI Low-Light Image Enhancement with Normalizing Flow"

  Language:Python29135536

• ori-mrg/robotcar-dataset-sdk

  Software Development Kit for the Oxford Robotcar Dataset

  Language:MATLAB262214894

• sczhou/LEDNet

  [ECCV 2022] LEDNet: Joint Low-light Enhancement and Deblurring in the Dark

  Language:Python211142028

• Srameo/DNF

  [CVPR 2023 Highlight] DNF: Decouple and Feedback Network for Seeing in the Dark

  Language:Python1494176

• alexklwong/calibrated-backprojection-network

  PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

  Language:Python12082623

• YufeiWang777/LRRU

  Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.

  Language:Python828234

• atonderski/lidarclip

  Bridging lidar and text through image intermediaries

  Language:Jupyter Notebook785118

• ymmshi/dark_infer_collections

  👉👉 [UPDATING] Low-light image enhancement inference code collections, including DRBN,SGM,EnlightenGAN, ZeroDCE,ZeroDCE++,DALE,DSLR,ReLLIE,RUAS now.

  Language:Python75143

• ykdai/BracketFlare

  Official Implementation of CVPR 2023 paper "Nighttime Smartphone Reflective Flare Removal using Optical Center Symmetry Prior"

  Language:Python66348

• layumi/AdaBoost_Seg

  TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:

  Language:Python45333

• timbroed/MUSES

  [ECCV 2024] SDK for MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

  Language:Python29111

• kshitij3112/EvPSNet

  Language:Python183

• Developer-Zer0/ZeroDCE

  PyTorch implementation of Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement Chongyi Li et al.

  Language:Python14112

• Warwick-Jocelyn/Semantic-Aware-Video-Compression-for-Automotive-Cameras

  Codes for the “Semantic-Aware Video Compression for Automotive Cameras” （TIV'2023）

  Language:Python50

• Warwick-Jocelyn/The-Effect-of-Camera-Data-Degradation-Factors-on-Panoptic-Segmentation-for-Automated-Driving

  Codes for the “The Effect of Camera Data Degradation Factors on Panoptic Segmentation for Automated Driving”（ITSC2023）

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