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The original was posted on /r/machinelearning by /u/Maleficent_Stay_7737 on 2024-09-07 20:27:59+00:00.

We’re excited to announce that our work, SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time, has been accepted to WACV 2025! 🎉

arXiv: 

TL;DR: In our paper, we introduce SpotDiffusion, a novel method for generating high-resolution panoramic images using diffusion models. Unlike previous approaches (e.g., MultiDiffusion and SyncDiffusion), which require overlapping predictions and lead to inefficiencies, SpotDiffusion eliminates this overlap by shifting non-overlapping windows over time. This ensures high-quality, seamless images with fewer computational steps and faster processing times—ideal for text-to-image generation and high-res outputs!

Thank you to everyone who supported us throughout this journey! We’re excited to share more soon! 😊