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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/joanrod/figure-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/joanrod/ocr-vqgan

Taming Transformers for High-Resolution Image Synthesis

https://github.com/jodumagpi/Xray-ObjSep-v1

Mask R-CNN

https://github.com/joelsimonoff/gram-adversary-detection

A Neural Algorithm of Artistic Style

https://github.com/joey00072/Neural-Style-Transfer-in-Pytorch

A Neural Algorithm of Artistic Style

https://github.com/joezengcbs/mini_xgboost_from_scratch

XGBoost: A Scalable Tree Boosting System

https://github.com/joh-fischer/PlantLDM

Taming Transformers for High-Resolution Image Synthesis

https://github.com/johnhw/simple_neural_ode

Neural Ordinary Differential Equations

https://github.com/johnsun03/myTest

Deep Photo Style Transfer

https://github.com/jokerjohn/cloud_map_evaluation

CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments

https://github.com/jomariya23156/SuperGlue-for-Visual-Place-Recognition

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/jonthegeek/stylex

A Neural Algorithm of Artistic Style

https://github.com/jooyounghun/AI-Team-5

Mask R-CNN

https://github.com/jordiae/DeepLearning-MAI

Non-local Neural Networks

https://github.com/jorgmateos/uformer-google-colab

Uformer: A General U-Shaped Transformer for Image Restoration

https://github.com/joselyn-rodriguez/s3prl

Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning

https://github.com/jp-sm/jp-sm.github.io

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model

https://github.com/jpark621/language-style-transfer

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/jpviguerasguillen/feedback-non-local-attention-fnla

Non-local Neural Networks

https://github.com/jpviguerasguillen/feedback-non-local-attention_fNLA

Non-local Neural Networks

https://github.com/jraiskin/arxiv2kindle_pdf

A Neural Algorithm of Artistic Style

https://github.com/jrbotvinick/learning-dynamics-on-invariant-measures

Neural Ordinary Differential Equations

https://github.com/jreisam/Unity-OpenPose-Edutable

Convolutional Pose Machines

https://github.com/jremillard/images-to-osm

Mask R-CNN

https://github.com/jrzech/reproduce-chexnet

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

https://github.com/jshermeyer/VDSR4Geo

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

https://github.com/jsleep/wav2mid

Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription

https://github.com/jsll/pytorch_6dof-graspnet

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

https://github.com/jsonkung/style-transfer-texture-synthesis

Style-Transfer via Texture-Synthesis

https://github.com/jthickstun/anticipation

Anticipatory Music Transformer

https://github.com/jtiger958/cyclegan-pytorch

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

https://github.com/jtiger958/hair-segmentation-pytorch

Real-time deep hair matting on mobile devices

https://github.com/jtiger958/style-transfer-pytorch

A Neural Algorithm of Artistic Style

https://github.com/judyye/ihoi

What's in your hands? 3D Reconstruction of Generic Objects in Hands

https://github.com/juletx/image-caption-generation

Show and Tell: A Neural Image Caption Generator

https://github.com/julianbel/itba-dl-neural-style-transfer

A Neural Algorithm of Artistic Style

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