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코드

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

https://github.com/Ysz2022/Fourier123

공식 코드

Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation

https://github.com/YudongGuo/AD-NeRF

공식 코드

AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis

https://github.com/Yuexiaoxi10/Key-Frame-Proposal-Network-for-Efficient-Pose-Estimation-in-Videos

공식 코드

Key Frame Proposal Network for Efficient Pose Estimation in Videos

https://github.com/YuliangXiu/PoseFlow

공식 코드

Pose Flow: Efficient Online Pose Tracking

https://github.com/Yushi-Hu/tifa

공식 코드

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

https://github.com/Yux1angJi/DIFF

공식 코드

Diffusion Features to Bridge Domain Gap for Semantic Segmentation

https://github.com/Yuxuan-Wen/Sim2real-Guidewire-Seg

공식 코드

Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy

https://github.com/YxZhxn/Ray3D

공식 코드

Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization

https://github.com/Z-T-WANG/LaProp-Optimizer

공식 코드

LaProp: Separating Momentum and Adaptivity in Adam

https://github.com/ZHKKKe/NeuralPreset

공식 코드

Neural Preset for Color Style Transfer

https://github.com/ZJULearning/CariFaceParsing

공식 코드

Weakly-supervised Caricature Face Parsing through Domain Adaptation

https://github.com/ZJUYH/LocNet_caffe

공식 코드

LocNet: Global localization in 3D point clouds for mobile vehicles

https://github.com/ZZUTK/SRNTT

공식 코드

Image Super-Resolution by Neural Texture Transfer

https://github.com/ZZWaang/PianoTree-VAE

공식 코드

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

https://github.com/ZZWaang/polyphonic-chord-texture-disentanglement

공식 코드

Learning Interpretable Representation for Controllable Polyphonic Music Generation

https://github.com/ZaiqiangWu/RTV

공식 코드

Low-Barrier Dataset Collection with Real Human Body for Interactive Per-Garment Virtual Try-On

https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation

공식 코드

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/ZhendongWang6/Uformer

공식 코드

Uformer: A General U-Shaped Transformer for Image Restoration

https://github.com/ZhengZerong/DeepHuman

공식 코드

DeepHuman: 3D Human Reconstruction from a Single Image

https://github.com/ZhengyiLuo/MEVA

공식 코드

3D Human Motion Estimation via Motion Compression and Refinement

https://github.com/Zhongdao/UniTrack

공식 코드

Do Different Tracking Tasks Require Different Appearance Models?

https://github.com/ZhongliangGuo/LAACA

공식 코드

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack

https://github.com/ZhouZijie77/SegLocNet

공식 코드

SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation

https://github.com/ZikangYuan/sr_livo

공식 코드

SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping with Sweep Reconstruction

https://github.com/ZiqiaoPeng/SyncTalk

공식 코드

SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis

https://github.com/Zrrr1997/Pose2Drone

공식 코드

Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction

https://github.com/ZszYmy9/Puff-Net

공식 코드

Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network

https://github.com/a-nau/tampar

공식 코드

TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains

https://github.com/a43992899/deid-vc

공식 코드

DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice Conversion

https://github.com/aaditagarwal/ActiveNet

공식 코드

ActiveNet: A computer-vision based approach to determine lethargy

https://github.com/aaronwool/keygnet

공식 코드

Learning Better Keypoints for Multi-Object 6DoF Pose Estimation

https://github.com/aaronwool/rcvpose

공식 코드

Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting

https://github.com/aaronwool/rcvpose3d

공식 코드

Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation

https://github.com/aaronz345/gtsinger

공식 코드

GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

https://github.com/aaronz345/tcsinger2

공식 코드

TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis

https://github.com/aau-cns/poet

공식 코드

PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation

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