Akio Hayakawa

According to our database, Akio Hayakawa authored at least 21 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models.

Christian Simon, Masato Ishii, Wei-Yao Wang, Koichi Saito, Akio Hayakawa, Dongseok Shim, Zhi Zhong, Shuyang Cui, Shusuke Takahashi, Takashi Shibuya, Yuki Mitsufuji

CoRR, February, 2026

2025

AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path.

Zhengyang Yu, Akio Hayakawa, Masato Ishii, Qingtao Yu, Takashi Shibuya, Jing Zhang, Yuki Mitsufuji

CoRR, December, 2025

Coherent Audio-Visual Editing via Conditional Audio Generation Following Video Edits.

Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji

CoRR, December, 2025

SoundReactor: Frame-level Online Video-to-Audio Generation.

Koichi Saito, Julian Tanke, Christian Simon, Masato Ishii, Kazuki Shimada, Zachary Novack, Zhi Zhong, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji

CoRR, October, 2025

Step-by-Step Video-to-Audio Synthesis via Negative Audio Guidance.

Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

CoRR, June, 2025

A Japanese Dataset and Efficient Multilingual LLM-Based Methods for Lexical Simplification and Lexical Complexity Prediction.

Adam Nohejl, Akio Hayakawa, Yusuke Ide, Taro Watanabe

J. Nat. Lang. Process., 2025

Towards Trustworthy Lexical Simplification: Exploring Safety and Efficiency with Small LLMs.

Akio Hayakawa, Stefan Bott, Horacio Saggion

Proceedings of the 18th International Natural Language Generation Conference, 2025

A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation.

Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji

Proceedings of the International Joint Conference on Neural Networks, 2025

MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation.

Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models.

Christian Simon, Masato Ishii, Akio Hayakawa, Zhi Zhong, Shusuke Takahashi, Takashi Shibuya, Yuki Mitsufuji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.

Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander G. Schwing, Yuki Mitsufuji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.

Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander G. Schwing, Yuki Mitsufuji

CoRR, 2024

Difficult for Whom? A Study of Japanese Lexical Complexity.

Adam Nohejl, Akio Hayakawa, Yusuke Ide, Taro Watanabe

CoRR, 2024

Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation.

Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

CoRR, 2024

Can LLMs Solve Reading Comprehension Tests as Second Language Learners?

Akio Hayakawa, Horacio Saggion

Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline.

Matthew Shardlow, Fernando Alva-Manchego, Riza Batista-Navarro, Stefan Bott, Saúl Calderón Ramírez, Rémi Cardon, Thomas François, Akio Hayakawa, Andrea Horbach, Anna Hülsing, Yusuke Ide, Joseph Marvin Imperial, Adam Nohejl, Kai North, Laura Occhipinti, Nelson Perez-Rojas, Nishat Raihan, Tharindu Ranasinghe, Martin Solis-Salazar, Sanja Stajner, Marcos Zampieri, Horacio Saggion

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

2023

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion.

Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira

CoRR, 2023

2022

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models.

Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira

CoRR, 2022

2021

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives.

Akio Hayakawa, Masato Ishii, Yoshiyuki Kobayashi, Akira Nakamura, Takuya Narihira, Yukio Obuchi, Andrew Shin, Takuya Yashima, Kazuki Yoshiyama

CoRR, 2021

2020

Reference-Based Video Colorization with Spatiotemporal Correspondence.

Naofumi Akimoto, Akio Hayakawa, Andrew Shin, Takuya Narihira

CoRR, 2020

Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling.

Akio Hayakawa, Takuya Narihira

CoRR, 2020