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---
license: cc-by-nc-sa-4.0
tags:
- video-to-audio generation
- selective sound generation
- multimodal deep learning
---
# SelVA: Hear What Matters! Text-conditioned Selective Video-to-Audio Generation
[![arXiv](https://img.shields.io/badge/arXiv-2512.02650-brightgreen.svg?style=flat-square)](https://arxiv.org/pdf/2512.02650) [![githubio](https://img.shields.io/badge/GitHub.io-Demo_page-blue?logo=Github&style=flat-square)](https://jnwnlee.github.io/selva-demo/) [![githubio](https://img.shields.io/badge/GitHub-Code-blue?logo=Github&style=flat-square)](https://github.com/jnwnlee/selva/)
```bash
.
β”œβ”€β”€ weights/
β”‚ β”œβ”€β”€ video_enc_sup_5.pth # text-conditioned video encoder
β”‚ β”œβ”€β”€ generator_small_16k_sup_5.pth # v2a generator
β”‚ β”œβ”€β”€ generator_small_44k_sup_5.pth
β”‚ β”œβ”€β”€ generator_medium_44k_sup_5.pth
β”‚ └── generator_large_44k_sup_5.pth
└── ext_weights/
β”œβ”€β”€ synchformer_state_dict.pth # pretrained Synchformer (24-01-04T16-39-21)
β”œβ”€β”€ best_netG.pt # BigVGAN vocoder
β”œβ”€β”€ v1-16.pth # vae 16kHz
└── v1-44.pth # vae 44kHz
```