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코드

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

https://github.com/chenxuluo/OriNet-demo

OriNet: A Fully Convolutional Network for 3D Human Pose Estimation

https://github.com/chenyeheng/SmartCar

Fine-Grained Head Pose Estimation Without Keypoints

https://github.com/chenyeheng/SmartCar-FaceRec

Fine-Grained Head Pose Estimation Without Keypoints

https://github.com/chenyeheng/SmartCar-FaceRecognition

Fine-Grained Head Pose Estimation Without Keypoints

https://github.com/chenyouxin113/sota-status-investigation

Convolutional Pose Machines

https://github.com/chihyanghsu0805/object_detection_yolo

Mask R-CNN

https://github.com/chingswy/HumanPoseMemo

Learning from Synthetic Humans

https://github.com/chmenet/demo

Mel-spectrogram augmentation for sequence to sequence voice conversion

https://github.com/chongchen20/Deeplabcut

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

https://github.com/chonyy/AI-basketball-analysis

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

https://github.com/chrischoy/FCGF

Deep Global Registration

https://github.com/chrismgeorge/Artistic_Additions_To_Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/christiankellernc/styletransfer

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/chronoshell/copyydscsv

HybridPose: 6D Object Pose Estimation under Hybrid Representations

https://github.com/chuanqichen/deepcoaching

Mask R-CNN

https://github.com/chunlei2/show-and-tell

Show and Tell: A Neural Image Caption Generator

https://github.com/chuxiaoselena/SparsenessMeetsDeepness

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

https://github.com/cientgu/instructdiffusion

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks

https://github.com/cindyxinyiwang/TextStyleTransfer

A Probabilistic Formulation of Unsupervised Text Style Transfer

https://github.com/ckirby19/style_transfer_snip

A Neural Algorithm of Artistic Style

https://github.com/clarken92/vfm

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/classner/up

Unite the People: Closing the Loop Between 3D and 2D Human Representations

https://github.com/clock-me/text-restyle

Multiple-Attribute Text Style Transfer

https://github.com/cloneofsimo/lora

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

https://github.com/cloneofsimo/paint-with-words-sd

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

https://github.com/cloudwaysx/cyclegan-tensorflow_pixie

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/cmbagent/cmbagent

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

https://github.com/cmbagents/cmbagent

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

https://github.com/cmhungsteve/Awesome-Transformer-Attention

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

https://github.com/cmitash/physim-dataset-generator

A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation

https://github.com/cmsflash/efficient-attention

Non-local Neural Networks

https://github.com/cmu-enyac/Renofeation

Efficient Object Localization Using Convolutional Networks

https://github.com/cnlinxi/style-token_tacotron2

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

https://github.com/coby1729/neural_style

A Neural Algorithm of Artistic Style

https://github.com/cocktailpeanutlabs/differential-diffusion-ui

Differential Diffusion: Giving Each Pixel Its Strength

https://github.com/code-implementation1/Code2/tree/main/AlphaPose

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

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