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Text-to-audio (TTA) generation is a recent popular problem that aims to synthesize general audio given text descriptions.
Self-supervised generation of spatial audio for 360°video
Pedro Morgado, Nuno Nvasconcelos, Timothy Langlois, and Oliver Wang · 2018
Earlier work this paper cites.
Audio-visual event localization in unconstrained videos
Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, and Chenliang Xu · 2018
Earlier work this paper cites.
AudioCaps: Generating captions for audios in the wild
Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, and Gunhee Kim · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Learning representations from audio-visual spatial alignment
Pedro Morgado, Yi Li, and Nuno Nvasconcelos · 2020
Earlier work this paper cites.
Unified multisensory perception: Weakly-supervised audio-visual video parsing
Yapeng Tian, Dingzeyu Li, and Chenliang Xu · 2020
Earlier work this paper cites.
Diffwave: A versatile diffusion model for audio synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2021
Earlier work this paper cites.
Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, and Mohammad Norouzi · 2021
Cited alongside, same era.
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
Cited alongside, same era.
Imagen video: High definition video generation with diffusion models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, and Tim Salimans · 2022
Cited alongside, same era.
X-clip: End-to-end multi-grained contrastive learning for video-text retrieval
Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Ming Yan, Ji Zhang, and Rongrong Ji · 2022
Cited alongside, same era.
A closer look at weakly-supervised audio-visual source localization
Shentong Mo and Pedro Morgado · 2022
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi · 2022
Later among the works it cites.
Diffsound: Discrete diffusion model for text-to-sound generation
Dongchao Yang, Jianwei Yu, Helin Wang, Wen Wang, Chao Weng, Yuexian Zou, and Dong Yu · 2022
Later among the works it cites.
Audiogen: Textually guided audio generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, and Yossi Adi · 2023
Closest in time.
Audioldm: Text-to-audio generation with latent diffusion models
Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, and Mark D. Plumbley · 2023
Closest in time.
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Cited alongside, same era.
Localizing visual sounds the easy way
Shentong Mo and Pedro Morgado · 2022
Cited alongside, same era.
Multi-modal grouping network for weakly-supervised audio-visual video parsing
Shentong Mo and Yapeng Tian · 2022
Cited alongside, same era.
Shentong Mo and Yapeng Tian · 2023
Closest in time.
AV-SAM: Segment anything model meets audio-visual localization and segmentation
Shentong Mo and Yapeng Tian · 2023
Closest in time.
Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, and Shlomo Dubnov · 2023
Closest in time.