https://github.com/2023-MindSpore-4/Code14/tree/main/SinGAN
SinGAN-Seg: Synthetic training data generation for medical image segmentation
Papers with Code 아카이브
1 Image, 2*2 Stitchi
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2023-MindSpore-4/Code6/tree/main/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/2023-MindSpore-4/Code7/tree/main/SRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/2023-MindSpore-4/Code7/tree/main/StackedHourglass
https://github.com/2023-MindSpore-4/Code7/tree/main/srcnn
https://github.com/2023-MindSpore-4/Code8/tree/main/AlphaPose
https://github.com/2023-MindSpore-4/Code8/tree/main/ArbitraryStyleTransfer
Exploring the structure of a real-time, arbitrary neural artistic stylization network
https://github.com/2023-MindSpore-4/Code8/tree/main/ArtTrack
https://github.com/2023-MindSpore-4/Code8/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2023-MindSpore-4/Code8/tree/main/crnn_seq2seq_ocr
The Sequence-to-Sequence Baseline for the Voice Conversion Challenge 2020: Cascading ASR and TTS
https://github.com/2023-MindSpore-4/Code9/tree/main/MaskRCNN
https://github.com/2023-MindSpore-4/Code9/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2024-MindSpore-1/Code10/tree/main/DRAN
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/graphormer
https://github.com/2024-MindSpore-1/Code4/tree/main/CycleGAN
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion
https://github.com/2024-MindSpore-1/Code4/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2024-MindSpore-1/Code5/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/2024-MindSpore-1/Code6/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/2024-MindSpore-1/Code6/tree/main/ArtTrack
https://github.com/2024-MindSpore-1/Code7/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2xic/openpose-pigs
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
https://github.com/360jinrong/GBST
https://github.com/3d-hand-shape/hand-graph-cnn
https://github.com/3dlg-hcvc/ANCSH-pytorch
https://github.com/3dtopia/openlrm
https://github.com/44aayush/MaskCycleGAN
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames
https://github.com/545641826/espcn
https://github.com/592595/TERA
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/593903762/center
https://github.com/5yearsKim/HamiltonianFlow
https://github.com/674106399/JointBoneLoss
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/7-B/yoco
https://github.com/780753368/Deep-Feature-Perturbation
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
https://github.com/97andrea97/CenterNet-PNPDet
https://github.com/AI-Guru/MMM-JSB
MMM : Exploring Conditional Multi-Track Music Generation with the Transformer
https://github.com/AI-Guru/tonicnet
Improving Polyphonic Music Models with Feature-Rich Encoding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.