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보존된 평가 기록

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코드

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

https://github.com/MacavityT/REF-VLM

공식 코드

REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decoding

https://github.com/Maitreyapatel/speech-conversion-between-different-modalities

공식 코드

CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion

https://github.com/MandyMo/HAMR

공식 코드

End-to-end Hand Mesh Recovery from a Monocular RGB Image

https://github.com/MandyMo/HIU-DMTL

공식 코드

Hand Image Understanding via Deep Multi-Task Learning

https://github.com/MarekKowalski/DeepAlignmentNetwork

공식 코드

Deep Alignment Network: A convolutional neural network for robust face alignment

https://github.com/MarekKowalski/HoloFace

공식 코드

HoloFace: Augmenting Human-to-Human Interactions on HoloLens

https://github.com/MartinBuessemeyer/Artistic-Texture-Control

공식 코드

Controlling Geometric Abstraction and Texture for Artistic Images

https://github.com/MaverickPeter/DiSCO-pytorch

공식 코드

DiSCO: Differentiable Scan Context with Orientation

https://github.com/MaxReimann/WISE-Editing

공식 코드

WISE: Whitebox Image Stylization by Example-based Learning

https://github.com/MaxReimann/video-stream-consistency

공식 코드

Interactive Control over Temporal Consistency while Stylizing Video Streams

https://github.com/MehwishG/T3D-CNN

공식 코드

Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation Framework

https://github.com/MelissaChen15/control-vc

공식 코드

ControlVC: Zero-Shot Voice Conversion with Time-Varying Controls on Pitch and Speed

https://github.com/Meowuu7/equi-articulated-pose

공식 코드

Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance

https://github.com/Metalicana/Deblurring-With-Phase-and-Dark-Channels

공식 코드

Blind Image Deblurring with FFT-ReLU Sparsity Prior

https://github.com/MichalGeyer/plug-and-play

공식 코드

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

https://github.com/MichiganCOG/Simulation_Physical_Plausibility

공식 코드

Measuring Physical Plausibility of 3D Human Poses Using Physics Simulation

https://github.com/MichiganCOG/Surgical_Hands_RELEASE

공식 코드

Temporally Guided Articulated Hand Pose Tracking in Surgical Videos

https://github.com/Microsoft/human-pose-estimation.pytorch

공식 코드

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/MingjieWe/PGFormer

공식 코드

Learning Pyramid-structured Long-range Dependencies for 3D Human Pose Estimation

https://github.com/MingzhenShao/HeadPose

공식 코드

Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment

https://github.com/MiraPurkrabek/BBoxMaskPose

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Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle

https://github.com/MiraPurkrabek/ProbPose_code

공식 코드

ProbPose: A Probabilistic Approach to 2D Human Pose Estimation

https://github.com/MiraPurkrabek/RePoGen

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Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data

https://github.com/MiriUll/Image-Generation-for-Accessible-Communication

공식 코드

Images Speak Volumes: User-Centric Assessment of Image Generation for Accessible Communication

https://github.com/Mirmix/muviecast

공식 코드

MuVieCAST: Multi-View Consistent Artistic Style Transfer

https://github.com/MohameHassan/PROX

공식 코드

Resolving 3D Human Pose Ambiguities with 3D Scene Constraints

https://github.com/MohamedAfham/CD_HPE

공식 코드

Towards Accurate Cross-Domain In-Bed Human Pose Estimation

https://github.com/MosheEliasof/DRIP

공식 코드

DRIP: Deep Regularizers for Inverse Problems

https://github.com/MovingKyu/RACoLN

공식 코드

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

https://github.com/MoyGcc/hpcwild

공식 코드

Human Performance Capture from Monocular Video in the Wild

https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020

공식 코드

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

https://github.com/MyeongJin-Kim/Learning-Texture-Invariant-Representation

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Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation

https://github.com/NIEQiang001/unsupervised-human-pose

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Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement

https://github.com/NOrangeeroli/SecondPose

공식 코드

SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation

https://github.com/NVIDIA/FastPhotoStyle

공식 코드

A Closed-form Solution to Photorealistic Image Stylization

https://github.com/NVIDIA/flowtron

공식 코드

Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

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