5 papers
CineLOG: A Training Free Approach for Cinematic Long Video Generation
Zahra Dehghanian, Morteza Abolghasemi, Hamid Beigy +1
Controllable video synthesis is a central challenge in computer vision, yet current models struggle with fine grained control beyond textual prompts, particularly for cinematic att…
Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
Amirtaha Amanzadi, Zahra Dehghanian, Hamid Beigy +1
The rapid development of generative models has made it increasingly crucial to develop detectors that can reliably detect synthetic images. Although most of the work has now focuse…
Analysis of Blood Report Images Using General Purpose Vision-Language Models
Nadia Bakhsheshi, Hamid Beigy
The reliable analysis of blood reports is important for health knowledge, but individuals often struggle with interpretation, leading to anxiety and overlooked issues. We explore t…
LensCraft: Your Professional Virtual Cinematographer
Zahra Dehghanian, Morteza Abolghasemi, Hossein Azizinaghsh +3
Digital creators, from indie filmmakers to animation studios, face a persistent bottleneck: translating their creative vision into precise camera movements. Despite significant pro…
Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions
Zahra Dehghanian, Pouya Ardekhani, Amir Vahedi +2
Camera trajectory generation is a cornerstone in computer graphics, robotics, virtual reality, and cinematography, enabling seamless and adaptive camera movements that enhance visu…