https://github.com/mindslab-ai/assem-vc
공식 코드Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mindslab-ai/cotatron
공식 코드Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data
https://github.com/mindspore-lab/mindediting
공식 코드Tunable Convolutions with Parametric Multi-Loss Optimization
https://github.com/ming024/FastSpeech2
공식 코드https://github.com/minghangz/resvg
공식 코드ResVG: Enhancing Relation and Semantic Understanding in Multiple Instances for Visual Grounding
https://github.com/minghanz/e2pn
공식 코드https://github.com/mingjiechen/dyganvc
공식 코드Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution
https://github.com/mingkaid/rl-prompt
공식 코드RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
https://github.com/mingsun-tse/collaborative-distillation
공식 코드Collaborative Distillation for Ultra-Resolution Universal Style Transfer
https://github.com/mingxiao-li/asymmetry-zigzag-storydiffusion
공식 코드https://github.com/mingyuanzhou/sid-lsg
공식 코드Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation
https://github.com/mingyuyng/visual-selective-vio
공식 코드Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
https://github.com/mingzi151/interpretationdata
공식 코드It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
https://github.com/minhaolee/2d3dmatr
공식 코드https://github.com/minnjung/ep2p-loc
공식 코드EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
https://github.com/minqili/viton-drr-main
공식 코드VITON-DRR: Details Retention Virtual Try-on via Non-rigid Registration
https://github.com/mireshghallah/style-pooling
공식 코드Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
https://github.com/mit-han-lab/fastcomposer
공식 코드FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
https://github.com/mit-han-lab/litepose
공식 코드Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
https://github.com/mit-spark/c-3po
공식 코드Certifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training
https://github.com/mit-spark/pace
공식 코드https://github.com/miu200521358/NeuralVoicePuppetryMMD
공식 코드https://github.com/mkocabas/EpipolarPose
공식 코드Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
https://github.com/mkocabas/PARE
공식 코드https://github.com/mkocabas/SPEC
공식 코드https://github.com/mkocabas/VIBE
공식 코드VIBE: Video Inference for Human Body Pose and Shape Estimation
https://github.com/mks0601/3DMPPE_POSENET_RELEASE
공식 코드Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE
공식 코드Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
https://github.com/mks0601/Hand4Whole_RELEASE
공식 코드Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
https://github.com/mks0601/I2L-MeshNet_RELEASE
공식 코드https://github.com/mks0601/IntegralAction_RELEASE
공식 코드IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos
https://github.com/mks0601/NeuralAnnot_RELEASE
공식 코드Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
https://github.com/mks0601/PoseFix_RELEASE
공식 코드PoseFix: Model-agnostic General Human Pose Refinement Network
https://github.com/mks0601/V2V-PoseNet_RELEASE
공식 코드https://github.com/ml-research/fair-diffusion
공식 코드Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
https://github.com/mlgig/bodymts_2021
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.