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Comprehensive Transformer Tts ⭐ 146

A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS.

Syndiff ⭐ 134

Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).

Unsuperviseddeephomographyral2018 ⭐ 115

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

Unicorn ⭐ 114

(ECCV 2022) Official code of Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

Comprehensive E2e Tts ⭐ 71

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

Unsuperviseddeeplearning Pytorch ⭐ 63

This repository tries to provide unsupervised deep learning models with Pytorch

Epcdepth ⭐ 59

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

Dti Sprites ⭐ 41

(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

Accepted in MIDL 2020

Ai Ml Unit 2 ⭐ 16

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

Fasterdip Devil In Upsampling ⭐ 12

[ICCV2023] The Devil is in the upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior

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