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Mohamed Sayed

8 accepted papers

2026

Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images

Matias Turkulainen, Akshay Krishnan, Filippo Aleotti, Mohamed Sayed, Guillermo Garcia-Hernando, Juho Kannala +3
CVPR 2026

We present Cross-View Splatter, a feed-forward method that predicts pixel-aligned Gaussian splats for outdoor scenes captured at ground level and by satellite. Faithful reconstructions require good camera coverage, but ground imagery is time-consuming and hard to capture at scale for large outdoor s

Cited by 0Source ↗code ↗Scholar ↗
2025

MVSAnywhere: Zero-Shot Multi-View Stereo

Sergio Izquierdo, Mohamed Sayed, Michael Firman, Guillermo Garcia-Hernando, Daniyar Turmukhambetov, Javier Civera +3
CVPR 2025poster

Computing accurate depth from multiple views is a fundamental and longstanding challenge in computer vision.However, most existing approaches do not generalize well across different domains and scene types (e.g. indoor vs outdoor). Training a general-purpose multi-view stereo model is challenging an…

Cited by 3Source ↗PDF ↗code ↗Scholar ↗
2025

Morpheus: Text-Driven 3D Gaussian Splat Shape and Color Stylization

Jamie Wynn, Zawar Qureshi, Jakub Powierza, Jamie Watson, Mohamed Sayed
CVPR 2025poster

Exploring real-world spaces using novel-view synthesis is fun, and reimagining those worlds in a different style adds another layer of excitement. Stylized worlds can also be used for downstream tasks where there is limited training data and a need to expand a model's training distribution. Most cur…

Cited by 0Source ↗PDF ↗Scholar ↗
2024

AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings

Jamie Watson, Filippo Aleotti, Mohamed Sayed, Zawar Qureshi, Oisin Mac Aodha, Gabriel Brostow +2
CVPR 2024poster

Extracting planes from a 3D scene is useful for downstream tasks in robotics and augmented reality. In this paper we tackle the problem of estimating the planar surfaces in a scene from posed images. Our first finding is that a surprisingly competitive baseline results from combining popular cluster…

Cited by 1Source ↗PDF ↗Scholar ↗
2024

GroundUp: Rapid Sketch-Based 3D City Massing

Gizem Esra Unlu*, Mohamed Sayed, Yulia Gryaditskaya, Gabriel Brostow
ECCV 2024poster

"We propose GroundUp, the first sketch-based ideation tool for 3D city massing of urban areas. We focus on early-stage urban design, where sketching is a common tool and the design starts from balancing planned building volumes (masses) and open spaces. With Human-Centered AI in mind, we aim to help…

Cited by 1Source ↗PDF ↗Scholar ↗
2023

Virtual Occlusions Through Implicit Depth

Jamie Watson, Mohamed Sayed, Zawar Qureshi, Gabriel J. Brostow, Sara Vicente, Oisin Mac Aodha +1
CVPR 2023poster

For augmented reality (AR), it is important that virtual assets appear to 'sit among' real world objects. The virtual element should variously occlude and be occluded by real matter, based on a plausible depth ordering. This occlusion should be consistent over time as the viewer's camera moves. Unfo…

Cited by 10Source ↗PDF ↗code ↗Scholar ↗
2022

SimpleRecon: 3D Reconstruction without 3D Convolutions

Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard
ECCV 2022poster

"Traditionally, 3D indoor scene reconstruction from posed images happens in two phases: per-image depth estimation, followed by depth merging and surface reconstruction. Recently, a family of methods have emerged that perform reconstruction directly in final 3D volumetric feature space. While these…

Cited by 127Source ↗PDF ↗code ↗Scholar ↗