Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention
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Updated
Nov 30, 2020 - Python
Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention
This is the official implementation of the paper AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization.
Voice Conversions for Japanesse
TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice Conversion
Janus-Series: Unified Multimodal Understanding and Generation Models
The official github repo for MixEval-X, the first any-to-any, real-world benchmark.
📰 Must-read papers on Unified Multimodal Understanding and Generation (constantly updating 🤗).
kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness Optimization
Voice Conversion With Just Nearest Neighbors
Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator
[ICLR 2026] Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
An open-source integration platform by Pinquark.com that allows any-to-any system integration
Data conversion engine.
A unified multimodal language model based on discrete sequence modeling
MODUS: Decoder-only Any-to-Any Modeling of Diverse Modalities [ICML 2026]
[CVPR 2026] Official repo of UniM
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