Akio Hayakawa

22 papers A* 2B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models.
CoRR
Christian Simon, Masato Ishii, Wei-Yao Wang, Koichi Saito, Akio Hayakawa, Dongseok Shim, Zhi Zhong, Shuyang Cui, Shusuke Takahashi, Takashi Shibuya, Yuki Mitsufuji
2025 J jnl
A Japanese Dataset and Efficient Multilingual LLM-Based Methods for Lexical Simplification and Lexical Complexity Prediction.
J. Nat. Lang. Process.
Adam Nohejl, Akio Hayakawa, Yusuke Ide, Taro Watanabe
2025 B conf
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation.
IJCNN
Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji
2025 J jnl
AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path.
CoRR
Zhengyang Yu, Akio Hayakawa, Masato Ishii, Qingtao Yu, Takashi Shibuya, Jing Zhang, Yuki Mitsufuji
2025 J jnl
Coherent Audio-Visual Editing via Conditional Audio Generation Following Video Edits.
CoRR
Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji
2025 A* conf
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.
CVPR
Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander G. Schwing, Yuki Mitsufuji
2025 A* conf
MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation.
ICLR
Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji
2025 J jnl
SoundReactor: Frame-level Online Video-to-Audio Generation.
CoRR
Koichi Saito, Julian Tanke, Christian Simon, Masato Ishii, Kazuki Shimada, Zachary Novack, Zhi Zhong, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji
2025 J jnl
Step-by-Step Video-to-Audio Synthesis via Negative Audio Guidance.
CoRR
Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji
2025 J jnl
TITAN-Guide: Taming Inference-Time AligNment for Guided Text-to-Video Diffusion Models.
CoRR
Christian Simon, Masato Ishii, Akio Hayakawa, Zhi Zhong, Shusuke Takahashi, Takashi Shibuya, Yuki Mitsufuji
2025 J jnl
Towards Trustworthy Lexical Simplification: Exploring Safety and Efficiency with Small LLMs.
CoRR
Akio Hayakawa, Stefan Bott, Horacio Saggion
2024 J jnl
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation.
CoRR
Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji
2024 — conf
Can LLMs Solve Reading Comprehension Tests as Second Language Learners?
KiL@KDD
Akio Hayakawa, Horacio Saggion
2024 J jnl
Difficult for Whom? A Study of Japanese Lexical Complexity.
CoRR
Adam Nohejl, Akio Hayakawa, Yusuke Ide, Taro Watanabe
2024 J jnl
Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation.
CoRR
Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji
2024 J jnl
Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.
CoRR
Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander G. Schwing, Yuki Mitsufuji
2024 — conf
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline.
BEA
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
2023 J jnl
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion.
CoRR
Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira
2022 J jnl
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models.
CoRR
Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira
2021 J jnl
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives.
CoRR
Akio Hayakawa, Masato Ishii, Yoshiyuki Kobayashi, Akira Nakamura, Takuya Narihira, Yukio Obuchi, Andrew Shin, Takuya Yashima, Kazuki Yoshiyama
2020 J jnl
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling.
CoRR
Akio Hayakawa, Takuya Narihira
2020 J jnl
Reference-Based Video Colorization with Spatiotemporal Correspondence.
CoRR
Naofumi Akimoto, Akio Hayakawa, Andrew Shin, Takuya Narihira