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코드

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

https://github.com/masadcv/PROPEL

공식 코드

PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks

https://github.com/master-cai/voloc

공식 코드

VOLoc: Visual Place Recognition by Querying Compressed Lidar Map

https://github.com/masterhow/eventpointpose

공식 코드

Efficient Human Pose Estimation via 3D Event Point Cloud

https://github.com/masud99r/thinker

공식 코드

Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning

https://github.com/matanr/capex

공식 코드

CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation

https://github.com/matrix-alpha/matrix-alpha.github.io

공식 코드

Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation

https://github.com/matteospanio/tasty-musicgen-small

공식 코드

A Multimodal Symphony: Integrating Taste and Sound through Generative AI

https://github.com/matthias-wright/art-fid

공식 코드

ArtFID: Quantitative Evaluation of Neural Style Transfer

https://github.com/mayuelala/followyourclick

공식 코드

Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts

https://github.com/mayuelala/followyourpose

공식 코드

Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos

https://github.com/maziao/t2i-eval

공식 코드

Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation Benchmark

https://github.com/mazurowski-lab/breastMRI_styletransfer

공식 코드

Deep Learning for Breast MRI Style Transfer with Limited Training Data

https://github.com/mccorbineau/iRestNet

공식 코드

Deep Unfolding of a Proximal Interior Point Method for Image Restoration

https://github.com/mchong6/JoJoGAN

공식 코드

JoJoGAN: One Shot Face Stylization

https://github.com/meaten/HMRinCloseProximity

공식 코드

Multimodal Active Measurement for Human Mesh Recovery in Close Proximity

https://github.com/mediabrain-sjtu/auxformer

공식 코드

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction

https://github.com/mediabrain-sjtu/eqmotion

공식 코드

EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

https://github.com/medicl-vu/crossmoda2023

공식 코드

Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation

https://github.com/meghshukla/activelearningforhumanpose

공식 코드

Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin?

https://github.com/meghshukla/math-analysis-learningloss

공식 코드

A Mathematical Analysis of Learning Loss for Active Learning in Regression

https://github.com/megvii-detection/MSPN

공식 코드

Rethinking on Multi-Stage Networks for Human Pose Estimation

https://github.com/megvii-model/HINet

공식 코드

HINet: Half Instance Normalization Network for Image Restoration

https://github.com/megvii-research/NAFNet

공식 코드

Simple Baselines for Image Restoration

https://github.com/megvii-research/TLC

공식 코드

Improving Image Restoration by Revisiting Global Information Aggregation

https://github.com/megvii-research/megactor

공식 코드

MegActor: Harness the Power of Raw Video for Vivid Portrait Animation

https://github.com/megvii-research/megfaceanimate

공식 코드

MegActor: Harness the Power of Raw Video for Vivid Portrait Animation

https://github.com/megvii-research/wacv2024-safa

공식 코드

Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution

https://github.com/mehwishg/dtf

공식 코드

Enhancing 3D Human Pose Estimation Amidst Severe Occlusion with Dual Transformer Fusion

https://github.com/melkor169/LeadSheetGen_Valence

공식 코드

Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework

https://github.com/melonwan/denseReg

공식 코드

Dense 3D Regression for Hand Pose Estimation

https://github.com/mengdanzhu/cross-modal-rag

공식 코드

Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation

https://github.com/menghao666/hdr

공식 코드

3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal

https://github.com/menoRashid/animal_human_kp

공식 코드

Interspecies Knowledge Transfer for Facial Keypoint Detection

https://github.com/mentian/object-posenet

공식 코드

Robust 6D Object Pose Estimation by Learning RGB-D Features

https://github.com/menyifang/dct-net

공식 코드

DCT-Net: Domain-Calibrated Translation for Portrait Stylization

https://github.com/mequanent/ChantingModeClassification

공식 코드

Zema Dataset: A Comprehensive Study of Yaredawi Zema with a Focus on Horologium Chants

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