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코드

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

https://github.com/ilshatus/nn_style_transfer_cv_project

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

https://github.com/imannema/cv_style_transfer

A Neural Algorithm of Artistic Style

https://github.com/imatge-upc/3D-GAN-superresolution

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/imransalam/JJ-style-transfer-TensorFlow2.0

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

https://github.com/imransalam/style-transfer-tensorflow-2.0

Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses

https://github.com/inconnu11/Objective-evaluation_speech_synthesis

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations

https://github.com/infantmotion/infantmotion.github.io

Unsupervised Human Pose Estimation through Transforming Shape Templates

https://github.com/infini8-13/MaskRCNN_tryout

Mask R-CNN

https://github.com/inkplatform/beta-vae

Deep Feature Consistent Variational Autoencoder

https://github.com/innat/ML-Bookmarks

Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks

https://github.com/innat/ML-Resource

Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks

https://github.com/inzva/Audio-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/inzva/hand-joint-detection

Hand Keypoint Detection in Single Images using Multiview Bootstrapping

https://github.com/inzva/music-generation

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

https://github.com/ipc-lab/deepjscc-diffusion

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

https://github.com/ipeter50/graph_ode

Neural Ordinary Differential Equations

https://github.com/iqbalu/PoseTrack-CVPR2017

PoseTrack: Joint Multi-Person Pose Estimation and Tracking

https://github.com/irsisyphus/reconet

ReCoNet: Real-time Coherent Video Style Transfer Network

https://github.com/isaaccorley/torchrs

Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks

https://github.com/isarandi/posepile

Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats

https://github.com/isheunesutembo/Generating-Art-Using-Deep-Learning

A Neural Algorithm of Artistic Style

https://github.com/ishwarsawale/keras_style_transfer

A Neural Algorithm of Artistic Style

https://github.com/issam9/finetuning-bert-models-for-arabic-dialect-detection

AraBERT: Transformer-based Model for Arabic Language Understanding

https://github.com/itsasimiqbal/SeBRe

Mask R-CNN

https://github.com/itsayushthada/Text-To-Image

Generative Adversarial Text to Image Synthesis

https://github.com/itsron717/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/itsuki8914/CycleGAN-TF

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

https://github.com/itsuki8914/ESRGAN-TensorFlow

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/itzpankajpanwar/Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/itzpankajpanwar/iMagine

A Neural Algorithm of Artistic Style

https://github.com/j96w/DenseFusion

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

https://github.com/jackaduma/CycleGAN-VC2

Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

https://github.com/jackaduma/CycleGAN-VC3

CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion

https://github.com/jacklishufan/Reflect-DiT

Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection

https://github.com/jackonelli/mcmc_corr_score_diffusion

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

https://github.com/jacksonlli/ProjectQuarantine_HumanSegmentation

Pose2Seg: Detection Free Human Instance Segmentation

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