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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/francescodisalvo05/66DaysOfData

A Neural Algorithm of Artistic Style

https://github.com/francois-rozet/mmps-benchmark

Denoising Diffusion Models for Plug-and-Play Image Restoration

https://github.com/franknb/Self-attention-DCGAN

Non-local Neural Networks

https://github.com/franroldans/tfm-franroldan-wav2pix

Generative Adversarial Text to Image Synthesis

https://github.com/freedombenLiu/DensePose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/freedombenLiu/FastPhotoStyle

A Closed-form Solution to Photorealistic Image Stylization

https://github.com/freedombenLiu/deep-painterly-harmonization

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

https://github.com/freenowill/AutoVC-WavRNN

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

https://github.com/frgfm/Holocron

Rotate to Attend: Convolutional Triplet Attention Module

https://github.com/fsafe/Capstone

Mask R-CNN

https://github.com/fuenwang/3D-BoundingBox

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/fuenwang/CVFX-hw1

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

https://github.com/fullfanta/multimodal_transfer

Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer

https://github.com/fuzhenxin/text_style_transfer

Style Transfer in Text: Exploration and Evaluation

https://github.com/fzi-forschungszentrum-informatik/mrf

SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth

https://github.com/gabrevaya/LatentDiffEq

Neural Ordinary Differential Equations

https://github.com/gabrevaya/LatentDiffEq.jl

Neural Ordinary Differential Equations

https://github.com/gaetandi/cheXpert

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/gaetano-signorelli/Attention-Style-Transfer

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

https://github.com/gagan16/Cyclegan-tensorflow

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

https://github.com/ganslate-team/ganslate

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

https://github.com/garrickbrazil/kinematic3d

Kinematic 3D Object Detection in Monocular Video

https://github.com/garroud/human-motion-prediction-pytorch

On human motion prediction using recurrent neural networks

https://github.com/gary-kaitung/data-science-portfolio

A Neural Algorithm of Artistic Style

https://github.com/garyzhao/FRGAN

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

https://github.com/gasteigerjo/ocp

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

https://github.com/gauraviiita/Visualization-of-Human3.6M-Dataset

On human motion prediction using recurrent neural networks

https://github.com/gchb2012/VQA

Let's Transfer Transformations of Shared Semantic Representations

https://github.com/gcwl/pytorch-cyclegan

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

https://github.com/geaxgx/depthai_blazepose

BlazePose: On-device Real-time Body Pose tracking

https://github.com/geekyutao/inpaint-anything

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/geoffsmith/gan-ode

Neural Ordinary Differential Equations

https://github.com/geopavlakos/TexturePose

TexturePose: Supervising Human Mesh Estimation with Texture Consistency

https://github.com/geopavlakos/c2f-vol-demo

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/geopavlakos/c2f-vol-train

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/geopavlakos/hamer

Reconstructing Hands in 3D with Transformers

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