Papers with Code 아카이브

Lip to Speech Synthesis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 1
보존된 평가 기록: 1

Given a silent video of a speaker, generate the corresponding speech that matches the lip movements.

코드

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

https://github.com/Rudrabha/Lip2Wav

공식 코드

Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis

https://github.com/choijeongsoo/lip2speech-unit

공식 코드

Intelligible Lip-to-Speech Synthesis with Speech Units

https://github.com/chris10m/lip2speech

공식 코드

Show Me Your Face, And I'll Tell You How You Speak

https://github.com/cyanbx/FastLTS

공식 코드

FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech Synthesis

https://github.com/liuzhuang13/DenseNet

공식 코드

Densely Connected Convolutional Networks

https://github.com/ms-dot-k/Lip-to-Speech-Synthesis-in-the-Wild

공식 코드

Lip-to-Speech Synthesis in the Wild with Multi-task Learning

https://github.com/ms-dot-k/Visual-Context-Attentional-GAN

공식 코드

Lip to Speech Synthesis with Visual Context Attentional GAN

https://github.com/0492wzl/tensorflow_slim_densenet

Densely Connected Convolutional Networks

https://github.com/0jason000/DenseNet

Densely Connected Convolutional Networks

https://github.com/2023-MindSpore-1/ms-code-146

Densely Connected Convolutional Networks

https://github.com/2023-MindSpore-1/ms-code-16/tree/main/3D_DenseNet

Densely Connected Convolutional Networks

https://github.com/2024-MindSpore-1/Code6/tree/main/3D_DenseNet

Densely Connected Convolutional Networks

https://github.com/AirBernard/DenseNet-by-Pytorch

Densely Connected Convolutional Networks

https://github.com/Anil1331/DenseNet

Densely Connected Convolutional Networks

https://github.com/ApexPredator1/DenseNet_tensorflow

Densely Connected Convolutional Networks

https://github.com/Asthestarsfalll/DenseNet-MegEngine

Densely Connected Convolutional Networks

https://github.com/ByakuyaUncia/DenseNetUncia

Densely Connected Convolutional Networks

https://github.com/CeLaMbDa/DenseNet_keras

Densely Connected Convolutional Networks

https://github.com/Ciprian95/Licenta

Densely Connected Convolutional Networks

https://github.com/Cjl-MedSeg/DenseNet

Densely Connected Convolutional Networks

https://github.com/Contamination-Classification/DenseNet

Densely Connected Convolutional Networks

https://github.com/DaikiTanak/manifold_mixup

Densely Connected Convolutional Networks

https://github.com/Deci-AI/super-gradients

Densely Connected Convolutional Networks

https://github.com/DeepTrial/Retina-VesselNet

Densely Connected Convolutional Networks

https://github.com/DomhnallBoyle/sv2s

Lip-to-Speech Synthesis in the Wild with Multi-task Learning

https://github.com/Duplums/bhb10k-dl-benchmark

Densely Connected Convolutional Networks

https://github.com/Elvictor01/Plant-Pathology-2020---FGVC7-Identify-the-category-of-foliar-diseases-in-apple-trees

Densely Connected Convolutional Networks

https://github.com/GSNCodes/Breast_Cancer_Detection_CNN

Densely Connected Convolutional Networks

https://github.com/GeoTrouvetout/Vehicle_ReID

Densely Connected Convolutional Networks

https://github.com/HLinShan/vision_networks

Densely Connected Convolutional Networks

https://github.com/Hashir44/muraxray

Densely Connected Convolutional Networks

https://github.com/IMvision12/keras-vision-models

Densely Connected Convolutional Networks

https://github.com/JTan2231/DenseNet

Densely Connected Convolutional Networks

https://github.com/LJKS/noplants

Densely Connected Convolutional Networks

https://github.com/Mayurji/Image-Classification-PyTorch

Densely Connected Convolutional Networks

https://github.com/Mnpr/OC-DeepLearning

Densely Connected Convolutional Networks

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