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cs.CV2025

Hybrid Gaussian Splatting for Novel Urban View Synthesis

Mohamed Omran, Farhad Zanjani, Davide Abati +2

This paper describes the Qualcomm AI Research solution to the RealADSim-NVS challenge, hosted at the RealADSim Workshop at ICCV 2025. The challenge concerns novel view synthesis in…

cs.CV2025

Imagining the Unseen: Generative Location Modeling for Object Placement

Jooyeol Yun, Davide Abati, Mohamed Omran +3

Location modeling, or determining where non-existing objects could feasibly appear in a scene, has the potential to benefit numerous computer vision tasks, from automatic object in…

cs.CV2025

Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection

Jens Petersen, Davide Abati, Amirhossein Habibian +1

Generative image models are increasingly being used for training data augmentation in vision tasks. In the context of automotive object detection, methods usually focus on producin…

cs.CV2025

Gaussian Splatting is an Effective Data Generator for 3D Object Detection

Farhad G. Zanjani, Davide Abati, Auke Wiggers +4

We investigate data augmentation for 3D object detection in autonomous driving. We utilize recent advancements in 3D reconstruction based on Gaussian Splatting for 3D object placem…

cs.CV2024

Object-Centric Diffusion for Efficient Video Editing

Kumara Kahatapitiya, Adil Karjauv, Davide Abati +3

Diffusion-based video editing have reached impressive quality and can transform either the global style, local structure, and attributes of given video inputs, following textual ed…