257 citations · 1k across the 96 of their papers we have counts for
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Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation
Sangmin Jung, Utkarsh Nath, Yezhou Yang +5
Text-to-image generation models have achieved remarkable capabilities in synthesizing images, but often struggle to provide fine-grained control over the output. Existing guidance…
Multimodal Language Models as Text-to-Image Model Evaluators
Jiahui Chen, Candace Ross, Reyhane Askari-Hemmat +5
The steady improvements of text-to-image (T2I) generative models lead to slow deprecation of automatic evaluation benchmarks that rely on static datasets, motivating researchers to…
Augmented Conditioning Is Enough For Effective Training Image Generation
Jiahui Chen, Amy Zhang, Adriana Romero-Soriano
Image generation abilities of text-to-image diffusion models have significantly advanced, yielding highly photo-realistic images from descriptive text and increasing the viability…
Unified Auto-Encoding with Masked Diffusion
Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang +1
At the core of both successful generative and self-supervised representation learning models there is a reconstruction objective that incorporates some form of image corruption. Di…
Mapping the world population one building at a time
Tobias G. Tiecke, Xianming Liu, Amy Zhang +8
High resolution datasets of population density which accurately map sparsely-distributed human populations do not exist at a global scale. Typically, population data is obtained us…
Building Detection from Satellite Images on a Global Scale
Amy Zhang, Xianming Liu, Andreas Gros +1
In the last several years, remote sensing technology has opened up the possibility of performing large scale building detection from satellite imagery. Our work is some of the firs…
Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation
Xianming Liu, Amy Zhang, Tobias Tiecke +2
Learning from weakly-supervised data is one of the main challenges in machine learning and computer vision, especially for tasks such as image semantic segmentation where labeling…