https://github.com/GiuliaLanzillotta/exercises
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Papers with Code 아카이브
1 Image, 2*2 Stitchi
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GlebBrykin/SANET
https://github.com/GloryyrolG/MHEntropy
https://github.com/Golbstein/GlueStick-tensorflow/blob/main/gluestick.py
GlueStick: Robust Image Matching by Sticking Points and Lines Together
https://github.com/Gothos/BK-SDM
BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion
https://github.com/Gowthamkar6/Image-captioning-using-CNN-RNN
https://github.com/Gowti-AiboT/GAN-based-SISR-Keras
https://github.com/Guanghan/CenterNet-Gluon
https://github.com/Guanghan/mxnet-centernet
https://github.com/GuillaumeAI/rwml__adaptive_style_transfer
https://github.com/GuillaumeDufau/Image-super-resolution-vdsr
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
https://github.com/GuoShi28/Caffe-Instance-Normalization-and-Guided-Instance-Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/GuohongLi/face-alignment-pytorch
https://github.com/HERMINDERSINGH1234/ML_Extra_Resolution_Increases
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/HFAiLab/clip-gen
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
https://github.com/HKUNLP/Dream
https://github.com/HRNet/HRNet-FCOS
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/HRNet/HRNet-Facial-Landmark-Detection
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/HRNet/HRNet-Human-Pose-Estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/HRNet/HRNet-Image-Classification
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/HRNet/HRNet-MaskRCNN-Benchmark
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/HRNet/HRNet-Object-Detection
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/HRNet/HRNet-Semantic-Segmentation
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/HajimeTaira/InLoc_demo
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
https://github.com/Hangz-nju-cuhk/Talking-Face-Generation-DAVS
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
https://github.com/HarmanDotpy/Normalizations-in-Deep-Learning
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/HaroldChen19/GaussianVTON
https://github.com/Harrypotterrrr/EDVR
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/HazemLahoual/Project-Machine-Learning
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/HeatherJiaZG/SuperGlue-pytorch
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/HelenGuohx/cv-ferattn-code
https://github.com/Hem7513/Decision-Trees-and-XGBoost-Algorithm-Documentation
https://github.com/HighVoltageRocknRoll/sr
https://github.com/Hikaylee/SynergyNet
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
https://github.com/HikkaV/StylizerML
Exploring the structure of a real-time, arbitrary neural artistic stylization network
https://github.com/Hmslab/Adapose
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.