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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CasualGANPapers/Make-A-Scene
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
https://github.com/Cathy-t/HELLO_image
https://github.com/CatoGit/Comparing-the-Performance-of-Deepfake-Detection-Methods-on-Benchmark-Datasets
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
https://github.com/CellEight/Pytorch-Adaptive-Instance-Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/Chad4545/styletransfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/Championchess/Generative-3D-Part-Assembly
https://github.com/ChandhiniG/Generate-Stylized-Image-from-Edges
https://github.com/Chatha-Sphere/pno-ai
This Time with Feeling: Learning Expressive Musical Performance
https://github.com/ChenWu98/Point-Then-Operate
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
https://github.com/ChengBinJin/Real-time-style-transfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/ChenyanWu/MEBOW
https://github.com/Chenzhoujia/190916-hand3d-CNN-GNN
https://github.com/Chenzixi1/D4LCNpaddle
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
https://github.com/ChetanTayal138/HAR-Web
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/ChetanTayal138/NeuralStyleTransfer
https://github.com/ChihchengHsieh/AttnGAN_Implementation
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/Chloejay/image_caption_app
https://github.com/Chris10M/Ev2Hands
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera
https://github.com/Cjmmmmmm/BreastUltrasound_Detection
https://github.com/ClePol/CPM_Presentation
https://github.com/ClementPinard/SfmLearner-Pytorch
https://github.com/Clemson-AI/p2gan
P$^2$-GAN: Efficient Style Transfer Using Single Style Image
https://github.com/Cli98/pytorch-cpn
https://github.com/ColdNoodler/py-faster-rcnn-cuda10
https://github.com/Coldog2333/pytoflow
https://github.com/CompVis/adaptive-style-transfer
https://github.com/CompVis/content-targeted-style-transfer
https://github.com/CompVis/unsupervised-part-segmentation
Unsupervised Part-Based Disentangling of Object Shape and Appearance
https://github.com/Con6924/SPM
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
https://github.com/ConnorChristie/image-to-3d-bbox
https://github.com/CorentinMAG/SRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/CorneliusHsiao/FoodMethodGAN
https://github.com/CoryRJ/cycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/CuberrChen/HumanPoseBL-Paddle
https://github.com/CyberPegasus/KUKA_Catch_Project
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.