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평가표

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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/pooriyasafaei/cityscapes_pix2pix

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

https://github.com/poyushen/classifaction

XGBoost: A Scalable Tree Boosting System

https://github.com/pp00704831/Stripformer-ECCV-2022-

Stripformer: Strip Transformer for Fast Image Deblurring

https://github.com/prabhupad26/100daysofML

A Neural Algorithm of Artistic Style

https://github.com/prakashSidd18/blind_augmentation

Restormer: Efficient Transformer for High-Resolution Image Restoration

https://github.com/prakashpandey9/Text2Image-PyTorch

Generative Adversarial Text to Image Synthesis

https://github.com/pranav-chib/trajimpute

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

https://github.com/pranoyr/pose-estimation-with-transformers

End-to-End Trainable Multi-Instance Pose Estimation with Transformers

https://github.com/pravitc/Neural-style-transfer-using-Pytorch

A Neural Algorithm of Artistic Style

https://github.com/prentrodgers/coconet-pytorch-csound

Counterpoint by Convolution

https://github.com/princeton-vl/Princeton365

Princeton365: A Diverse Dataset with Accurate Camera Pose

https://github.com/princeton-vl/pose-ae-train

Associative Embedding: End-to-End Learning for Joint Detection and Grouping

https://github.com/princeton-vl/pose-hg-demo

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/priscillalui/StackGAN-Stories

Generative Adversarial Text to Image Synthesis

https://github.com/prithivirajdamodaran/styleformer

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

https://github.com/proteus1991/GridDehazeNet

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

https://github.com/prstrive/CondConv-tensorflow

Dynamic Convolution: Attention over Convolution Kernels

https://github.com/psanch21/VAE-GMVAE

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

https://github.com/pscmap13/viton-gan

VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss

https://github.com/pskrunner14/descriptor

Show and Tell: A Neural Image Caption Generator

https://github.com/pswaldia/NeuralStyleTransfer

A Neural Algorithm of Artistic Style

https://github.com/psychopa4/PFNL

https://github.com/ptran1203/photorealistic_style_transfer

Photorealistic Style Transfer via Wavelet Transforms

https://github.com/ptran1203/style_transfer

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/ptraverse/MC-GAN3

Multi-Content GAN for Few-Shot Font Style Transfer

https://github.com/puhsu/point_clouds

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

https://github.com/purushothamgowthu/deep-photo-styletransfer

Deep Photo Style Transfer

https://github.com/pvdhove/owl-mask-rcnn

Mask R-CNN

https://github.com/pwang724/neural-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/pwc-1/Paper-10/tree/main/speecht5

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

https://github.com/pwc-1/Paper-5/tree/main/mpt

MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction

https://github.com/pwc-1/Paper-5/tree/main/musicgen

Simple and Controllable Music Generation

https://github.com/pwc-1/Paper-5/tree/main/musicgen_melody

Simple and Controllable Music Generation

https://github.com/pwc-1/Paper-8/tree/main/altclip

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

https://github.com/pwc-1/Paper-9/tree/main/2/mpt

MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction

https://github.com/pwc-1/Paper-9/tree/main/2/musicgen

MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation

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