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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/KunZhou9646/Speaker-independent-emotional-voice-conversion-based-on-conditional-VAW-GAN-and-CWT

공식 코드

Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion

https://github.com/KunZhou9646/emotional-voice-conversion-with-CycleGAN-and-CWT-for-Spectrum-and-F0

공식 코드

Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data

https://github.com/KunZhou9646/seq2seq-EVC

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Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training

https://github.com/Kunhao-Liu/StyleRF

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StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields

https://github.com/KupynOrest/DeblurGANv2

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DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

https://github.com/KyungMinJin/OTPose

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OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos

https://github.com/LIAvignon/adversarial-disentangling-autoencoder-for-spk-representation

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Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

https://github.com/LLNL/MuyGPyS

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Light curve completion and forecasting using fast and scalable Gaussian processes (MuyGPs)

https://github.com/LUMII-Syslab/shuffle-exchange

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Neural Shuffle-Exchange Networks -- Sequence Processing in O(n log n) Time

https://github.com/LUZW1998/CMFDUEI

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An Effective Image Copy-Move Forgery Detection Using Entropy Information

https://github.com/Lakonik/MVEdit

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Generic 3D Diffusion Adapter Using Controlled Multi-View Editing

https://github.com/LandskapeAI/triplet-attention

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Rotate to Attend: Convolutional Triplet Attention Module

https://github.com/Ledengary/PGST

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PGST: a Polyglot Gender Style Transfer method

https://github.com/LeoLaugier/conditional-auto-encoder-text-to-text-transfer-transformer

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Civil Rephrases Of Toxic Texts With Self-Supervised Transformers

https://github.com/LetterLiGo/SafeEar

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SafeEar: Content Privacy-Preserving Audio Deepfake Detection

https://github.com/LiRem101/playing-with-voices

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Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization Challenge

https://github.com/LiangHsia/MIDI-S2

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MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation

https://github.com/LifuWang-66/DistillT5

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Scaling Down Text Encoders of Text-to-Image Diffusion Models

https://github.com/Lightricks/LTX-Video

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LTX-Video: Realtime Video Latent Diffusion

https://github.com/LinWeizheDragon/AutoFidgetDetection

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Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress

https://github.com/LiyangTseng/AudMem

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A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability

https://github.com/LongguangWang/SOF-VSR

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Deep Video Super-Resolution using HR Optical Flow Estimation

https://github.com/LongguangWang/SOF-VSR-Super-Resolving-Optical-Flow-for-Video-Super-Resolution-

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Learning for Video Super-Resolution through HR Optical Flow Estimation

https://github.com/Luo-Yihong/TDM

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Learning Few-Step Diffusion Models by Trajectory Distribution Matching

https://github.com/LyuJ1998/HandTailor

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HandTailor: Towards High-Precision Monocular 3D Hand Recovery

https://github.com/MAPS-research/Ditail

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Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations

https://github.com/MCG-NJU/SADRNet

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SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

https://github.com/MECLabTUDA/AutoSNAP

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AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation

https://github.com/MIT-SPARK/CertifiablyRobustPerception

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One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers

https://github.com/MIT-SPARK/pose-baselines

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Certifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training

https://github.com/MJ-Bench/MJ-Bench

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MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

https://github.com/ML-GSAI/Scaling-Diffusion-Transformers-muP

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Scaling Diffusion Transformers Efficiently via $μ$P

https://github.com/MONET2018/MONET

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MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence

https://github.com/MRzzm/DINet

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DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video

https://github.com/MS-Diffusion/MS-Diffusion

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MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

https://github.com/MVIG-SJTU/AlphaPose

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AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.