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most citedSwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher

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cs.CV2026

SwiftPie: Lightning-fast Subject-driven Image Personalization via One step Diffusion

Huy Duong, Trong-Tung Nguyen, Cuong Pham +3

Diffusion models have achieved remarkable success in high-quality image synthesis, sparking interest in image-guided generation tasks such as subject-driven image personalization.…

cs.CV2026

BluRef: Unsupervised Image Deblurring with Dense-Matching References

Bang-Dang Pham, Anh Tran, Cuong Pham +1

This paper introduces a novel unsupervised approach for image deblurring that utilizes a simple process for training data collection, thereby enhancing the applicability and effect…

cs.CV2026

TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision

Robinson Umeike, Cuong Pham, Ryan Hausen +8

We present TornadoNet, a comprehensive benchmark for automated street-level building damage assessment evaluating how modern real-time object detection architectures and ordinal-aw…

cs.CV2026

Architectural Insights for Post-Tornado Damage Recognition

Robinson Umeike, Thang Dao, Shane Crawford +8

Rapid and accurate building damage assessment in the immediate aftermath of tornadoes is critical for coordinating life-saving search and rescue operations, optimizing emergency re…

cs.CV2025

SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models

Kien Nguyen, Anh Tran, Cuong Pham

The rapid growth of text-to-image diffusion models has raised concerns about their potential misuse in generating harmful or unauthorized contents. To address these issues, several…

cs.CV2024

SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion

Trong-Tung Nguyen, Quang Nguyen, Khoi Nguyen +2

Recent advances in text-guided image editing enable users to perform image edits through simple text inputs, leveraging the extensive priors of multi-step diffusion-based text-to-i…