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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/gregtozzi/deep_learning_celnav
https://github.com/grgward108/PosePretrain
A Unified Transformer-Based Framework with Pretraining For Whole Body Grasping Motion Generation
https://github.com/grossjohannes/AlignNet-3D
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
https://github.com/gs18113/AdaIN-TensorFlow2
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/gs18113/ESPCN-TensorFlow2
https://github.com/gshashank84/CheXNet
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://github.com/gsoykan/comp541_term_project
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
https://github.com/gsoykan/deepercut-replication
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
https://github.com/gttugsuu/Constrained-Neural-Style-Transfer-for-Decorated-Logo-Generation
Constrained Neural Style Transfer for Decorated Logo Generation
https://github.com/guanfuchen/py-faster-rcnn
https://github.com/guiggh/hand_pose_action
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations
https://github.com/guizilaile23/ZSL-SSS
https://github.com/gulshanBakle/Neural-Image-Caption-generator
https://github.com/gulvarol/bodynet
https://github.com/gulvarol/surreact
Synthetic Humans for Action Recognition from Unseen Viewpoints
https://github.com/gulvarol/surreal
https://github.com/gunpowder1473/Adaptive-Style-Transfer-Tensorflow
https://github.com/gunpowder1473/CycleGan_Tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/gunpowder1473/CycyleGan_Tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/guozixunnicolas/Moonbeam-MIDI-Foundation-Model
Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes
https://github.com/guptakhil12/show-tell
https://github.com/gurkanwar-singh/Style_Transfer
https://github.com/guxiao0822/ICL-Gait-SupplementaryCode
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
https://github.com/guyyariv/vlmig
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
https://github.com/gyaansastra/DeepLab
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/gymoon10/Instance-Segmentation-with-SpatialEmbedding-CA
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/gzb126/picture-Style-Transfer
https://github.com/gzerveas/gaila_object_detection
https://github.com/h3lio5/linguistic-style-transfer-pytorch
Disentangled Representation Learning for Non-Parallel Text Style Transfer
https://github.com/h44rd/PoseTransferMayaPlugin
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/habout632/gans
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/hadi-hosseini/noise-refinement
Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image Generation
https://github.com/hakeematyab/Neural-Image-Caption-Generator-Show-and-Tell-Paper-Replication
https://github.com/halimasoulb/human-pose-estimation-3d-lidar
https://github.com/hanchenchen/hand-complete-w-Handtailor
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.