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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amirgholami/anode
https://github.com/amogh7joshi/media-vision
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/amzamzamzamz/nagadomi-waifu2x
https://github.com/anandaltekar/movie-poster-generator
https://github.com/anantvir/Detecting_Localizing_Pneumonia_from_Chest_X-Ray_Scans
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://github.com/anastasiawd/brightvo
https://github.com/anastassia-b/neural-algorithm-artistic-style
https://github.com/anatolix/keras_Realtime_Multi-Person_Pose_Estimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/anchen1011/toflow
https://github.com/andi611/Self-Supervised-Speech-Pretraining-and-Representation-Learning
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/andreacoppari/ELSR-torch
ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices
https://github.com/andreamazzitelli/ProjectNN
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
https://github.com/andrewjong/SwapNet
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
https://github.com/andy-yangz/writing_style_transfer
https://github.com/anfidthtn/HAC
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/angelvillar96/TextOCVP
Object-Centric Image to Video Generation with Language Guidance
https://github.com/anhkhoa039/Neural-Style-Transfer
https://github.com/anhoangphuc/neural_style_transfer
https://github.com/anibali/dsnt-pose2d
https://github.com/anibali/h36m-fetch
https://github.com/anilarmagan/HANDS19-Challenge-Toolbox
https://github.com/anirbrhm/ImageCaptioning
https://github.com/anishathalye/neural-style
https://github.com/anishreddy3/Art-generation-neural-style-transfer
https://github.com/anitagold/60-days-of-Udacity
https://github.com/anitakumarijena/Image_Captioning
https://github.com/anjalipemmaraju/cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/anjalipemmaraju/styletransfernetwork
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/ankanbhunia/Handwriting-Transformers
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/ankitajaiswal00/Try-First
https://github.com/anktplwl91/Image-Superresolution
https://github.com/annahung31/MIdiNet-by-pytorch
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
https://github.com/annahung31/jazz_melody_generation
Improving Automatic Jazz Melody Generation by Transfer Learning Techniques
https://github.com/anshky/HR-NET
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/anshuak100/NIH-Chest-X-ray-Dataset
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.