Papers with Code 아카이브

3D Face Animation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

3

보존된 평가 기록

12

코드

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

https://github.com/alterzero/DBPN-Pytorch

Deep Back-Projection Networks For Super-Resolution

https://github.com/alterzero/RBPN-PyTorch

Recurrent Back-Projection Network for Video Super-Resolution

https://github.com/alterzero/STARnet

Space-Time-Aware Multi-Resolution Video Enhancement

https://github.com/amanshenoy/image-super-resolution

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/amogh7joshi/media-vision

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/amzamzamzamz/nagadomi-waifu2x

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/anchen1011/toflow

Video Enhancement with Task-Oriented Flow

https://github.com/andreacoppari/ELSR-torch

ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices

https://github.com/anktplwl91/Image-Superresolution

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

https://github.com/anujdutt9/ESPCN

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

https://github.com/arjunarao619/SRCNN_Pytorch

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/arthur-qiu/freenoise-lavie

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

https://github.com/atheesh1998/Image-Super-Resolution

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/atriumlts/subpixel

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

https://github.com/ayanglab/swinganmr

SwinIR: Image Restoration Using Swin Transformer

https://github.com/ayanglab/swinmr

SwinIR: Image Restoration Using Swin Transformer

https://github.com/bayuudachi/Real-esr-gan

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

https://github.com/behnoudshafizadeh/ESPCN-SuperResolution-Tensorflow

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

https://github.com/bw2color/bw2color

XGBoost: A Scalable Tree Boosting System

https://github.com/code-implementation1/Code3/tree/main/ESRGAN

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

https://github.com/code-implementation1/Code6/tree/main/ras

Recurrent Back-Projection Network for Video Super-Resolution

https://github.com/code-implementation1/Code9/tree/main/EDSR

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

https://github.com/coulsonlee/dy-dca-eccv2024

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting

https://github.com/cscss/DBVSR

Deep Blind Video Super-resolution

https://github.com/cviaai/PSF-GAN-ESTIMATION

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/dalexanderch/CFD

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/deepak112/Keras-SRGAN

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

https://github.com/djsinghnegi/SRINImageEnhancemrntGAN

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

https://github.com/doantienthongbku/ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/dokyeongK/Pytorch_SRCNN

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/dokyeongK/Single-Image-Super-Resolution-Reimplemenation

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/drhdr-user/drhdr

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

https://github.com/eriklindernoren/PyTorch-GAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/facebookresearch/multiface

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement

https://github.com/fenghansen/ESRGAN-Keras

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/fengwang/subpixel_conv2d

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

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