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

https://github.com/livingbio/MakeItTalk

MakeItTalk: Speaker-Aware Talking-Head Animation

https://github.com/lixiaolei1982/DenseNet-base-Mask-RCNN-for-Human-Pose-Estimation

Mask R-CNN

https://github.com/lixinghpu/SCCL

Photorealistic Style Transfer via Wavelet Transforms

https://github.com/liyi14/mx-DeepIM

DeepIM: Deep Iterative Matching for 6D Pose Estimation

https://github.com/liyinqi/un2clip

Hierarchical Text-Conditional Image Generation with CLIP Latents

https://github.com/liyu10000/pneumoconiosis

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

https://github.com/lizeng614/SqueezeNet-Neural-Style-Pytorch

A Neural Algorithm of Artistic Style

https://github.com/lizhuoq/ESRGAN-pytorch

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/llSourcell/3D_Pose_Estimation

A simple yet effective baseline for 3d human pose estimation

https://github.com/lllyasviel/omost

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

https://github.com/lllyasviel/style2paints

Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN

https://github.com/lncarter/Dencepose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/lncarter/Openpose

Convolutional Pose Machines

https://github.com/locuslab/monotone_op_net

Neural Ordinary Differential Equations

https://github.com/lolrudy/kp-red

GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting

https://github.com/longcw/roialign.pytorch

Mask R-CNN

https://github.com/longjj/Caffe-SGDR

Show and Tell: A Neural Image Caption Generator

https://github.com/lonnyzhang423/github-hot-hub

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/lorenzo-stacchio/Stable-Diffusion-Inpaint

High-Resolution Image Synthesis with Latent Diffusion Models

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

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

https://github.com/louis-li/wildtrack_footprint

A Neural Algorithm of Artistic Style

https://github.com/louisyuzhe/car-damage-detector

Mask R-CNN

https://github.com/lrxjason/Attention3DHumanPose

https://github.com/ls4gan/benchmarking

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

https://github.com/ls5122/mask-rcnn

Mask R-CNN

https://github.com/lsl001006/zone

InstructPix2Pix: Learning to Follow Image Editing Instructions

https://github.com/lu-m13/optimal

A Closed-form Solution to Universal Style Transfer

https://github.com/lucas-dunker/stem-separator-amt

Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source

https://github.com/lucasjinreal/yolov7_d2

Visual Attention Network

https://github.com/lucasmfaria/Machine-Learning-Capstone

XGBoost: A Scalable Tree Boosting System

https://github.com/lucataco/cog-differential-diffusion

Differential Diffusion: Giving Each Pixel Its Strength

https://github.com/lucidrains/DALLE-pytorch

Zero-Shot Text-to-Image Generation

https://github.com/lucidrains/DALLE2-pytorch

Hierarchical Text-Conditional Image Generation with CLIP Latents

https://github.com/lucidrains/ddpm-proteins

Uformer: A General U-Shaped Transformer for Image Restoration

https://github.com/lucidrains/gigagan-pytorch

Scaling up GANs for Text-to-Image Synthesis

https://github.com/lucidrains/imagen-pytorch

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

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