7 citations · 25 across the 13 of their papers we have counts for
3 papers · 1 filter
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 +1
In this work, we build a simple but strong baseline for sounding video generation. Given base diffusion models for audio and video, we integrate them with additional modules into a…
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives
Takuya Narihira, Javier Alonsogarcia, Fabien Cardinaux +14
While there exist a plethora of deep learning tools and frameworks, the fast-growing complexity of the field brings new demands and challenges, such as more flexible network design…
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling
Akio Hayakawa, Takuya Narihira
While large neural networks demonstrate higher performance in various tasks, training large networks is difficult due to limitations on GPU memory size. We propose a novel out-of-c…