Temporal Environment-Aware Image Generation via Latent Diffusion
Generative models;Latent Diffusion;Time series data;Multi-modal learning
violation in margin formatting
Submission Desk Rejected by Program Chairs
@misc{
kalanat2024temporal,
title={Temporal Environment-Aware Image Generation via Latent Diffusion},
author={Nasrin Kalanat and Yiqun Xie and Yanhua Li and Xiaowei Jia},
year={2024},
url={https://openreview.net/forum?id=Rd34VDwqB7}
}
Low-cost cameras have recently become widely used to monitor environmental ecosystems. This paper focuses on scene prediction for monitoring small streams, which is critical for ensuring water supply and informing early actions for floods and droughts. In contrast to traditional stream models that typically rely on coarse-resolution weather data, stream images provide detailed information about water properties and local environment at a higher temporal frequency. This paper presents a multi-modal generative framework designed for frequent temporal stream imagery datasets, aimed at generating the subsequent stream images. This task is challenging due to the variability of stream images caused by changes in time and local environmental conditions. Our method captures scene changes in both stream and surrounding environment by incorporating temporal context of weather, water flow, and time information. We also introduce a domain-discriminative learning approach to enforce the learning of domain-specific information in generating images. Our experiments demonstrate the superior performance of the proposed method in preserving semantics of water and environmental properties, using real data from the West Brook area in western Massachusetts, USA.
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~Nasrin_Kalanat1 ~Yiqun_Xie2 ~Yanhua_Li1 ~Xiaowei_Jia1
Nasrin Kalanat Yiqun Xie Yanhua Li Xiaowei Jia
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Generative models Latent Diffusion Time series data Multi-modal learning
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kalanat|temporal_environmentaware_image_generation_via_latent_diffusion
/pdf/78e2dc8c190027ab6fd7d78b3ffb8dcfd3fd3674.pdf
generative models
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Temporal Environment-Aware Image Generation via Latent Diffusion
ICLR 2025 Conference Desk Rejected Submission
ICLR.cc/2025/Conference/Desk_Rejected_Submission