9 papers
Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics
Xiaoyan Xing, Xiao Zhang, Sezer Karaoglu +2
Image-to-image relighting requires representations that separate illumination from scene properties while preserving dense geometry, material, and photometric cues. We use this tas…
Gaussian Mapping for Evolving Scenes
Vladimir Yugay, Thies Kersten, Luca Carlone +3
Mapping systems with novel view synthesis (NVS) capabilities, most notably 3D Gaussian Splatting (3DGS), are widely used in computer vision, as well as in various applications, inc…
Unblur-SLAM: Dense Neural SLAM for Blurry Inputs
Qi Zhang, Denis Rozumny, Francesco Girlanda +4
We propose Unblur-SLAM, a novel RGB SLAM pipeline for sharp 3D reconstruction from blurred image inputs. In contrast to previous work, our approach is able to handle different type…
FVO: Fast Visual Odometry with Transformers
Vlardimir Yugay, Duy-Kien Nguyen, Theo Gevers +2
Hybrid pipelines that combine deep learning with classical optimization have established themselves as the dominant approach to visual odometry (VO). By integrating neural network…
Grab-3D: Detecting AI-Generated Videos from 3D Geometric Temporal Consistency
Wenhan Chen, Sezer Karaoglu, Theo Gevers
Recent advances in diffusion-based generation techniques enable AI models to produce highly realistic videos, heightening the need for reliable detection mechanisms. However, exist…
GaussianBlender: Instant Stylization of 3D Gaussians with Disentangled Latent Spaces
Melis Ocal, Xiaoyan Xing, Yue Li +3
3D stylization is central to game development, virtual reality, and digital arts, where the demand for diverse assets calls for scalable methods that support fast, high-fidelity ma…