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전체 기법 전체 데이터셋

하위 태스크: 12
평가표: 1
보존된 평가 기록: 1

코드

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

https://github.com/makkars92/Neural_Style_Transfer

A Neural Algorithm of Artistic Style

https://github.com/mamhoud/CapstoneProject

A Critical Review of Recurrent Neural Networks for Sequence Learning

https://github.com/manankshastri/ART

A Neural Algorithm of Artistic Style

https://github.com/mandarin4452/StyleTune

Deep Photo Style Transfer

https://github.com/mandubian/neural-ode

Neural Ordinary Differential Equations

https://github.com/mandubian/pytorch-neural-ode

Neural Ordinary Differential Equations

https://github.com/manicman1999/CycleGAN256-BR

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

https://github.com/mansimane/WormML

Numerical Coordinate Regression with Convolutional Neural Networks

https://github.com/mansimov/text2image

Generating Images from Captions with Attention

https://github.com/marangamax/keras-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/maratsubkhankulov/cyclegan-vc

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks

https://github.com/marciska/vpc-library

Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories

https://github.com/marcoppasini/MelGAN-VC

MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms

https://github.com/maria-korosteleva/Body-Shape-Estimation

Detailed, accurate, human shape estimation from clothed 3D scan sequences

https://github.com/mariob6/style_text

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/markmaxt/VideoSR

Deep Back-Projection Networks For Super-Resolution

https://github.com/marvinchung/hw5-textstyletransfer

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

https://github.com/matakshay/Neural_Image_Caption_Generator

Show and Tell: A Neural Image Caption Generator

https://github.com/mateuszjurewicz/bornhack_ml_crashcourse

A Neural Algorithm of Artistic Style

https://github.com/mathiasunberath/DeepDRR

X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

https://github.com/matsagad/mres-project

Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

https://github.com/matteodalessio/CycleGAN-android

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

https://github.com/matthew-liu/beta-vae

Deep Feature Consistent Variational Autoencoder

https://github.com/mattiagaggi/3D-Pose-Estimator---MSc_project

Neural 3D Mesh Renderer

https://github.com/maudzung/CenterNet3D-PyTorch

Objects as Points

https://github.com/maudzung/RTM3D

Objects as Points

https://github.com/maudzung/SFA3D

Objects as Points

https://github.com/maudzung/super-fast-accurate-3d-object-detection

Objects as Points

https://github.com/maum-ai/voicefilter

Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data

https://github.com/mauriciomani/NST_instagram

A Neural Algorithm of Artistic Style

https://github.com/maurock/neural_transfer_style

A Neural Algorithm of Artistic Style

https://github.com/max-andr/joint-cnn-mrf

Learning Human Pose Estimation Features with Convolutional Networks

https://github.com/maxdel/rmt

Adversarially Regularized Autoencoders

https://github.com/maxfrei750/DeepParticleNet

https://github.com/maxfrei750/FibeR-CNN

https://github.com/maxjiang93/ShapeFlow

ShapeFlow: Learnable Deformations Among 3D Shapes

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