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평가표

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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/lhannest/neuralstyle

A Neural Algorithm of Artistic Style

https://github.com/liamheng/pytorch1.4-wct

Universal Style Transfer via Feature Transforms

https://github.com/liang-faan/openpose

Convolutional Pose Machines

https://github.com/libreai/neural-painters-x

A Neural Algorithm of Artistic Style

https://github.com/lichengunc/mask-faster-rcnn

Mask R-CNN

https://github.com/lifunudt/blender_based_render

BlenderProc

https://github.com/ligaoqi2/Pose2Seg-single-person-video-demo

Pose2Seg: Detection Free Human Instance Segmentation

https://github.com/ligaoqi2/res-loglikelihood-regression-with-COCO-video-demo

Human Pose Regression with Residual Log-likelihood Estimation

https://github.com/lighterswang/biomedclip-lora

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

https://github.com/lihaoy-ux/mline-vins

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

https://github.com/lihengbit/Pytorch1.4-WCT

Universal Style Transfer via Feature Transforms

https://github.com/lijiaman/egoego_release

Ego-Body Pose Estimation via Ego-Head Pose Estimation

https://github.com/lilijiangg/autodiffusion

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/limaosen0/DMGNN

Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction

https://github.com/lime-j/nafnet-jax

Simple Baselines for Image Restoration

https://github.com/lincaiming/py-faster-rcnn-update

Mask R-CNN

https://github.com/lincaiming/py-faster-rcnn-windows

Mask R-CNN

https://github.com/lingofunk/lingofunk-transfer-style

Adversarially Regularized Autoencoders

https://github.com/lingtengqiu/OPEC-Net

Peeking into occluded joints: A novel framework for crowd pose estimation

https://github.com/lingyuliu/Every-Painting-Awakened

Every Painting Awakened: A Training-free Framework for Painting-to-Animation Generation

https://github.com/linweiii/backdoordm

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

https://github.com/linxi159/GAN-training-tricks

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

https://github.com/linxi159/Tips-and-tricks-to-train-GANs

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

https://github.com/lippman1125/pytorch_FAN

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/lit-leo/inner-convex-nn

Wasserstein-2 Generative Networks

https://github.com/litalby1/make-it-count

Make It Count: Text-to-Image Generation with an Accurate Number of Objects

https://github.com/liuch37/semantic-segmentation

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/liuhaumin/LeadsheetArrangement

Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network

https://github.com/liuhaumin/leadsheetgan

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

https://github.com/liulai/reconet-torch

ReCoNet: Real-time Coherent Video Style Transfer Network

https://github.com/liuqk3/put

Zero-Shot Text-to-Image Generation

https://github.com/liusongxiang/ppg-vc

Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling

https://github.com/liuzeyuMr/CycleGAN-TensorFlow-master

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

https://github.com/liuzhen03/ADNet

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

https://github.com/liuzhengwei127/Styfer

A Neural Algorithm of Artistic Style

https://github.com/liuziwei7/fashion-landmarks

Fashion Landmark Detection in the Wild

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