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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rrrepsac/tb_vc
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/ruer98/headshot-style-transfer
https://github.com/rufaelfekadu/seq2seq-vc
https://github.com/ruhyadi/YOLO3D
https://github.com/ruhyadi/yolo3d-lightning
https://github.com/rungjoo/Stable-Style-Transformer
Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer
https://github.com/ruoyufeng/ccedit
CCEdit: Creative and Controllable Video Editing via Diffusion Models
https://github.com/russoale/hmr2.0
https://github.com/rvorias/uvHolographics
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/ryanchankh/style_transfer
https://github.com/ryanhalabi/starcraft_super_resolution
https://github.com/ryanwebster90/image-synthesis-lab2
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/ryanwebster90/texture-synthesis-lab
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/ryersonvisionlab/two-stream-dyntex-synth
Two-Stream Convolutional Networks for Dynamic Texture Synthesis
https://github.com/ryudrigo/my-gen-clip
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
https://github.com/s-nlp/sgdd-tst
Studying the role of named entities for content preservation in text style transfer
https://github.com/s-omranpour/Music-Generation
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
https://github.com/saadbutt32/Conversion-of-Pakistan-Sign-Languag-into-Text-and-Speech-using-OpenPose-and-Machine-Learning
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/saadbutt32/Pakistan-Sign-Language-Interpreter
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/sachin17git/iTransfer
https://github.com/sachin17git/iTransfer-Neural-Style-Transfer
https://github.com/sachin19/mucoco
Controlled Text Generation as Continuous Optimization with Multiple Constraints
https://github.com/saehan-choi/pixellib_auto_labelling
https://github.com/safakkbilici/Synthetic-Music-Generation-with-Deep-Neural-Networks
https://github.com/safwankdb/Neural-Style-Transfer
https://github.com/safwankdb/ReCoNet-PyTorch
https://github.com/sahithchada/NOCS_PyTorch
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/saihiel/news_headlines
Educating Text Autoencoders: Latent Representation Guidance via Denoising
https://github.com/saikatbsk/Vincent-AI-Artist
https://github.com/sailor-z/clnet
https://github.com/sainikhit2k/Art-Generation-using-Neural-Style-Transfer
https://github.com/saiyan-world/goku
https://github.com/salesforce/doodl
EDICT: Exact Diffusion Inversion via Coupled Transformations
https://github.com/salihkaragoz/pose-residual-network-pytorch
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
https://github.com/salinasJJ/BBpose
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.