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코드

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

https://github.com/amforever/fmfcc-a

공식 코드

FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection

https://github.com/aminkaramlou/qnlg

공식 코드

Quantum Natural Language Generation on Near-Term Devices

https://github.com/amir32002/3D_Street_View

공식 코드

Generic 3D Representation via Pose Estimation and Matching

https://github.com/amirdahari1/superres

공식 코드

Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks

https://github.com/amirrezafateh/multi-scale-transformer-pneumonia

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Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach

https://github.com/amirrezahmi/video-inpainting-and-voice-cloning

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AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace Platform

https://github.com/amonroym99/iti-gen-reproducibility

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Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"

https://github.com/amyxlase/relpose-plus-plus

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RelPose++: Recovering 6D Poses from Sparse-view Observations

https://github.com/amzn/mrc-net-6d-pose

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MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation

https://github.com/anastasiia-kornilova/MMDF

공식 코드

Deep learning Framework for Mobile Microscopy

https://github.com/andersxa/cslp-ae

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CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion

https://github.com/andi611/ZeroSpeech-TTS-without-T

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Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion

https://github.com/andresprados/spiga

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Shape Preserving Facial Landmarks with Graph Attention Networks

https://github.com/andrew-miao/RPO

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Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning

https://github.com/andrewjong/ShineOn-Virtual-Tryon

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ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on

https://github.com/andyweasley2004/generality-to-mastery

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From Generality to Mastery: Composer-Style Symbolic Music Generation via Large-Scale Pre-training

https://github.com/andyzeng/apc-vision-toolbox

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Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

https://github.com/angelvillar96/STLPose

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Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

https://github.com/angtian/neuralvs

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Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose

https://github.com/angtian/voge

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VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis

https://github.com/anibali/dsntnn

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Numerical Coordinate Regression with Convolutional Neural Networks

https://github.com/anibali/margipose

공식 코드

3D Human Pose Estimation with 2D Marginal Heatmaps

https://github.com/animaleyeq/cattleeyeview

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CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming

https://github.com/anitarau/simcol

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Bimodal Camera Pose Prediction for Endoscopy

https://github.com/annnonymousss/BVTON

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High-Fidelity Virtual Try-on with Large-Scale Unpaired Learning

https://github.com/anon-nlp-1234/da-nlg

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Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking

https://github.com/anon294384/diffuseit

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Diffusion-based Image Translation using Disentangled Style and Content Representation

https://github.com/anonymous5293/minorityprompt

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Minority-Focused Text-to-Image Generation via Prompt Optimization

https://github.com/anonymouspony/adap-edit

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AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing

https://github.com/anshulbshah/Blurred-Image-to-Video

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Bringing Alive Blurred Moments

https://github.com/antabangun/dualrefine

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DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium

https://github.com/antgroup/echomimic_v2

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EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation

https://github.com/antof27/rgb-based-pose-classification

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Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation

https://github.com/anton-kashkin/hifi_vc

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HiFi-VC: High Quality ASR-Based Voice Conversion

https://github.com/antonio521/motiongs

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MotionGS : Compact Gaussian Splatting SLAM by Motion Filter

https://github.com/anusfoil/DExter

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DExter: Learning and Controlling Performance Expression with Diffusion Models

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