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cs.CV2026
Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering
Davide Di Nucci, Riccardo Catalini, Guido Borghi +1
Recent advances in 3D reconstruction and neural rendering,particularly 3D Gaussian Splatting, make it feasible and simple to edit 3D scenes and re-render them as highly realistic i…
cs.CV2026
SnapPose3D: Diffusion-Based Single-Frame 2D-to-3D Lifting of Human Poses
Alessandro Simoni, Riccardo Catalini, Davide Di Nucci +6
Depth ambiguity and joint uncertainty are the two main obstacles in obtaining accurate human pose predictions by 2D-to-3D lifting methods proposed in the literature. In particular,…
cs.CV2026
GazeD: Context-Aware Diffusion for Accurate 3D Gaze Estimation
Riccardo Catalini, Davide Di Nucci, Guido Borghi +5
We introduce GazeD, a new 3D gaze estimation method that jointly provides 3D gaze and human pose from a single RGB image. Leveraging the ability of diffusion models to deal with un…