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20212024
most citedPatch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

32 citations · 115 across the 19 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

FIRE: Food Image to REcipe generation

Prateek Chhikara, Dhiraj Chaurasia, Yifan Jiang +2

Food computing has emerged as a prominent multidisciplinary field of research in recent years. An ambitious goal of food computing is to develop end-to-end intelligent systems capa…

cs.CV2023★ 12 cited

In-Context Learning Unlocked for Diffusion Models

Zhendong Wang, Yifan Jiang, Yadong Lu +5

We present Prompt Diffusion, a framework for enabling in-context learning in diffusion-based generative models. Given a pair of task-specific example images, such as depth from/to…

cs.CL2023

Transferring Procedural Knowledge across Commonsense Tasks

Yifan Jiang, Filip Ilievski, Kaixin Ma

Stories about everyday situations are an essential part of human communication, motivating the need to develop AI agents that can reliably understand these stories. Despite the lon…

cs.CV2023★ 32 cited

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Zhendong Wang, Yifan Jiang, Huangjie Zheng +5

Diffusion models are powerful, but they require a lot of time and data to train. We propose Patch Diffusion, a generic patch-wise training framework, to significantly reduce the tr…

cs.CV2023

Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition

Yifan Jiang, Han Chen, Hanseok Ko

Recently, skeleton-based human action has become a hot research topic because the compact representation of human skeletons brings new blood to this research domain. As a result, r…