https://github.com/s3prl/s3prl
공식 코드S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/mos_prediction
공식 코드Utilizing Self-supervised Representations for MOS Prediction
https://github.com/s603122001/Bidirectional-Music-Style-Transformer
공식 코드Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience
https://github.com/sThalham/PyraPose
공식 코드PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift
https://github.com/sWizad/momentum-diffusion
공식 코드Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
https://github.com/sabithsn/appdia-discourse-style-transfer
공식 코드https://github.com/sachit-menon/generating-illustrated-instructions-reproduction
공식 코드https://github.com/sadil13/vln-ram
공식 코드https://github.com/sagiebenaim/DistanceGAN
공식 코드https://github.com/sahilg06/EmoGen
공식 코드https://github.com/saic-mdal/HiDT
공식 코드https://github.com/saidwivedi/DSR
공식 코드Learning to Regress Bodies from Images using Differentiable Semantic Rendering
https://github.com/saidwivedi/POCO
공식 코드https://github.com/saidwivedi/TokenHMR
공식 코드TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
https://github.com/sail-sg/mvp
공식 코드https://github.com/sail-sg/sewformer
공식 코드Towards Garment Sewing Pattern Reconstruction from a Single Image
https://github.com/sailor-z/dvmnet
공식 코드DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects
https://github.com/sair-lab/SeqACE
공식 코드Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
https://github.com/sair-lab/iMatching
공식 코드https://github.com/sairin1202/vp-csv
공식 코드Character-Centric Story Visualization via Visual Planning and Token Alignment
https://github.com/sais-fuxi/evalalign
공식 코드https://github.com/sakaridis/MGCDA
공식 코드https://github.com/salanueva/sr4g
공식 코드https://github.com/salesforce/HIVE
공식 코드HIVE: Harnessing Human Feedback for Instructional Visual Editing
https://github.com/salesforce/edict
공식 코드EDICT: Exact Diffusion Inversion via Coupled Transformations
https://github.com/salesforce/lavis
공식 코드https://github.com/salu133445/mmt
공식 코드https://github.com/salu133445/mtmt
공식 코드https://github.com/salu133445/musegan
공식 코드https://github.com/salu133445/muspy
공식 코드https://github.com/salu133445/muspy-exp
공식 코드https://github.com/samaonline/Trajectory-Regularization-Enhances-Self-Supervised-Geometric-Representation
공식 코드Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
https://github.com/sander-wood/text-to-music
공식 코드Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task
https://github.com/sanghunpark/neural_crossbreed
공식 코드https://github.com/sanghviyashiitb/poisson-deblurring
공식 코드Photon Limited Non-Blind Deblurring Using Algorithm Unrolling
https://github.com/sangyun884/hr-viton
공식 코드High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.