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보존된 평가 기록

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코드

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

https://github.com/ai-forever/movqgan

Autoregressive Image Generation using Residual Quantization

https://github.com/ai-forever/ru-gpts

Methods for Detoxification of Texts for the Russian Language

https://github.com/ai-unicamp/tts-objective-metrics

Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens

https://github.com/aigagror/discriminator-style-transfer

Style is a Distribution of Features

https://github.com/aigtext/glyphcontrol-release

GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation

https://github.com/aijialin/style_transfer

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

https://github.com/aim-uofa/AdelaiDet

DirectPose: Direct End-to-End Multi-Person Pose Estimation

https://github.com/aim-uofa/adet

DirectPose: Direct End-to-End Multi-Person Pose Estimation

https://github.com/aim-uofa/styledrop-pytorch

StyleDrop: Text-to-Image Generation in Any Style

https://github.com/aimagelab/multimodal-garment-designer

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing

https://github.com/airalcorn2/aquamam

AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions

https://github.com/airalcorn2/pytorch-ipdf

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold

https://github.com/aitorzip/PyTorch-CycleGAN

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

https://github.com/ajda1992/convformer

ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention

https://github.com/ajdillhoff/colorhandpose3d-pytorch

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/ajdillhoff/simgan-pytorch

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/ajit2704/peexle

A Neural Algorithm of Artistic Style

https://github.com/akalia77/hinet

HINet: Half Instance Normalization Network for Image Restoration

https://github.com/akanametov/NeuralStyleTransfer

Neural Style Transfer: A Review

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

Neural Style Transfer: A Review

https://github.com/akanazawa/hmr

End-to-end Recovery of Human Shape and Pose

https://github.com/akanazawa/motion_reconstruction

SFV: Reinforcement Learning of Physical Skills from Videos

https://github.com/akanimax/T2F

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

https://github.com/akashpalrecha/deblurring-pipeline

Deep Back-Projection Networks For Super-Resolution

https://github.com/akashpalrecha/superres-deformable

Deep Back-Projection Networks For Super-Resolution

https://github.com/akashrajkn/micaugment

MicAugment: One-shot Microphone Style Transfer

https://github.com/akashsonowal/ddpo-pytorch

Training Diffusion Models with Reinforcement Learning

https://github.com/akshayb7/Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/albertfgu/diffwave-sashimi

It's Raw! Audio Generation with State-Space Models

https://github.com/aleksey-egorov/attngan

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

https://github.com/alex-f1tor/Image-Caption

Show and Tell: A Neural Image Caption Generator

https://github.com/alexalm4190/Mask_RCNN-Vizzy_Hand

Mask R-CNN

https://github.com/alexander-pv/maskrcnn_tf2

Mask R-CNN

https://github.com/alexanderivanov2424/CSCI-1430-Final-Project

A Neural Algorithm of Artistic Style

https://github.com/alexandrejash/Chivvo

Neural Ordinary Differential Equations

https://github.com/alexis-jacq/Pytorch-Tutorials

A Neural Algorithm of Artistic Style

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