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

https://github.com/hanghang177/pedestrian_awareness

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

https://github.com/hangligit/InterpretDiffusion

Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation

https://github.com/hansam95/nmg

Prompt-to-Prompt Image Editing with Cross Attention Control

https://github.com/hanzhanggit/StackGAN-Pytorch

Generative Adversarial Text to Image Synthesis

https://github.com/hanzhanggit/StackGAN-inception-model

Generative Adversarial Text to Image Synthesis

https://github.com/haoheliu/audioldm-training-finetuning

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

https://github.com/haoheliu/audioldm_eval

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

https://github.com/happyhongt/Acceleration-of-RED-via-Vector-Extrapolation

The Little Engine that Could: Regularization by Denoising (RED)

https://github.com/happyvictor008/High-order-GNN-LF-iter

A simple yet effective baseline for 3d human pose estimation

https://github.com/hariharannatesh/Action-Recognition-using-Pytorch-Geometric

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/harjyotbagga/neural-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/harrybolingot/mymaskrcnn

Mask R-CNN

https://github.com/harryboos/Auto-Music-Generation

Music Transformer

https://github.com/harshalsonioo1/hpe

Convolutional Pose Machines

https://github.com/harunshimanto/Neural-Style-Transfer-of-Artistic-Style

A Neural Algorithm of Artistic Style

https://github.com/harvard-visionlab/lrm-steering

Hierarchical Text-Conditional Image Generation with CLIP Latents

https://github.com/hasanirtiza/Pedestron

Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

https://github.com/hash2430/pitchtron

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

https://github.com/hashi0203/image-captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/hassony2/manopth

Learning joint reconstruction of hands and manipulated objects

https://github.com/hassony2/obman

Learning joint reconstruction of hands and manipulated objects

https://github.com/hassony2/obman_train

Learning joint reconstruction of hands and manipulated objects

https://github.com/hbahadirsahin/gmvae

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

https://github.com/hcy71o/autovocoder

iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

https://github.com/heartyguy/AI-AngryBird-Eagle-Wing

XGBoost: A Scalable Tree Boosting System

https://github.com/hellohaozheng/maskrcnn-mindspore

Mask R-CNN

https://github.com/hellojialee/Multi-Person-Pose-using-Body-Parts

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

https://github.com/hg1722/fashionista

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

https://github.com/hhe-distance/AIF-CNN

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

https://github.com/hiarsal/dae-gan

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

https://github.com/highskillzz/Neural-Style-Tranfer

A Neural Algorithm of Artistic Style

https://github.com/hirokichi-k/extended_SLPdataset

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions

https://github.com/hiyaroy12/multitask_learning

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

https://github.com/hkpolyu-uav/flvis

Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops

https://github.com/hkust-aerial-robotics/g3reg

Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap

https://github.com/hkust-aerial-robotics/vins-fisheye

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

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