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보존된 평가 기록

1

코드

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

https://github.com/KinglittleQ/GST-Tacotron

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

https://github.com/Kishwar/tensorflow

Artistic style transfer for videos and spherical images

https://github.com/KlabCMU/MEVA

3D Human Motion Estimation via Motion Compression and Refinement

https://github.com/Klawens/SwinPose

Distribution-Aware Coordinate Representation for Human Pose Estimation

https://github.com/Kprerak-iisc/data-science

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

https://github.com/KrisLee512/ST-GCN

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/Krupal09/MaskRCNN-Demo

Mask R-CNN

https://github.com/Kumara-Kaushik/proba_v_challenge

A Neural Algorithm of Artistic Style

https://github.com/KunZhou9646/controllable_evc_code

Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

https://github.com/Kunhao-Liu/StyleGaussian

StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting

https://github.com/Kyfafyd/MirrorGAN

MirrorGAN: Learning Text-to-image Generation by Redescription

https://github.com/Kyubyong/expressive_tacotron

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

https://github.com/LAION-AI/phenaki

MaskGIT: Masked Generative Image Transformer

https://github.com/LEEPEIQIN/EDSR

Deep Back-Projection Networks For Super-Resolution

https://github.com/LKLQQ/MIMO-UNet

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

https://github.com/LONG-9621/body_net

BodyNet: Volumetric Inference of 3D Human Body Shapes

https://github.com/LRacoci/permutation-graphml

Non-local Neural Networks

https://github.com/LWChen20/RCAN

Deep Back-Projection Networks For Super-Resolution

https://github.com/Lakerszjb/CentereNet-C

Objects as Points

https://github.com/Larryliu912/Vincent-2.0

A Neural Algorithm of Artistic Style

https://github.com/Launch-on-Titania/DynOPETs

DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios

https://github.com/LaurentBerger/neuralstyle

A Neural Algorithm of Artistic Style

https://github.com/Lauu1023/ODENet

Neural Ordinary Differential Equations

https://github.com/LawrenceZ22/ThermoHands

ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images

https://github.com/LeMU-Haruka/reconet-mindspore

ReCoNet: Real-time Coherent Video Style Transfer Network

https://github.com/LearningHx/StyA2K

All-to-key Attention for Arbitrary Style Transfer

https://github.com/Lees001/FastPhotoStyle

A Closed-form Solution to Photorealistic Image Stylization

https://github.com/Leinadh/avatar-image-generator

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings

https://github.com/LemonTwoL/ReNeg

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

https://github.com/LeslieZhoa/DCT-NET.Pytorch

DCT-Net: Domain-Calibrated Translation for Portrait Stylization

https://github.com/LiangHann/USAR

Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects

https://github.com/LiuHuijie6410/OmniDish

Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes

https://github.com/LiuShenLan/HRNet

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

https://github.com/Liuxiang0358/HMR

End-to-end Recovery of Human Shape and Pose

https://github.com/Lopezurrutia/DSB_2018

Mask R-CNN

https://github.com/Lornatang/DRRN-PyTorch

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

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