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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Chuge0335/EDG
공식 코드https://github.com/CompVis/brushstroke-parameterized-style-transfer
공식 코드Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
https://github.com/CompVis/net2net
공식 코드Network-to-Network Translation with Conditional Invertible Neural Networks
https://github.com/CompVis/taming-transformers
공식 코드https://github.com/CongliangLi/LabelImg3D
공식 코드https://github.com/CongliangLi/SMOPE-Net
공식 코드https://github.com/ConsistencyVC/ConsistencyVC-voive-conversion
공식 코드https://github.com/Costwen/Ouroboros3D
공식 코드Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion
https://github.com/Cyan0731/MusiConGen
공식 코드MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation
https://github.com/D1noFuzi/cmd_styletransfer
공식 코드In the light of feature distributions: moment matching for Neural Style Transfer
https://github.com/DART2022/DART
공식 코드DART: Articulated Hand Model with Diverse Accessories and Rich Textures
https://github.com/DC1991/FS-Net
공식 코드https://github.com/DC1991/G2L_Net
공식 코드G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
https://github.com/DCVL-3D/PointHMR_release
공식 코드Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
https://github.com/DINGYANB/MUSES
공식 코드MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
https://github.com/DK-Jang/motion_puzzle
공식 코드https://github.com/DLR-RM/3DObjectTracking/tree/master/Mb-ICG
공식 코드A Multi-body Tracking Framework -- From Rigid Objects to Kinematic Structures
https://github.com/DLR-RM/3DObjectTracking/tree/master/SRT3D
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
https://github.com/DLR-RM/AugmentedAutoencoder
공식 코드Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
https://github.com/DLR-RM/BlenderProc
공식 코드https://github.com/DYEvaLab/EvalMuse
공식 코드https://github.com/DandilionLau/Selfie-Friendly-Abstraction
공식 코드Learning Selfie-Friendly Abstraction from Artistic Style Images
https://github.com/DavHoffmann/LearningToTrainWithSyntheticHumans
공식 코드https://github.com/Davidyao99/uni4d
공식 코드Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
https://github.com/DeLightCMU/PSA
공식 코드Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/DeepLabCut/DeepLabCut
공식 코드Markerless tracking of user-defined features with deep learning
https://github.com/DengPingFan/FS2K
공식 코드https://github.com/DengPingFan/FaceSketch-Awesome-List
공식 코드https://github.com/DianaNerualNetwork/StainPromptInversion
공식 코드Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion
https://github.com/Dianezzy/ParaLip
공식 코드https://github.com/DmitryUlyanov/texture_nets
공식 코드Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/Doubiiu/CodeTalker
공식 코드CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
https://github.com/Droliven/DHMP_jittor
공식 코드Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
https://github.com/Droliven/MSRGCN
공식 코드MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
https://github.com/Duankaiwen/LSNet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.