Basile Van Hoorick

Papers

Total Citations

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About

Basile Van Hoorick is a researcher pushing the boundaries of computer vision and generative modeling, with a focus on dynamic scene understanding and novel view synthesis. His most influential work, "Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis" (2024, 9 citations), introduces a groundbreaking approach to generating highly realistic, temporally consistent videos from a single static image by simulating camera movement through dynamic scenes. This method addresses a long-standing challenge in 3D vision—synthesizing plausible views of moving objects from unseen angles—and has quickly gained traction for its potential in virtual production, autonomous driving, and AR/VR. Van Hoorick’s complementary work, "Controlling the World by Sleight of Hand" (2024, 1 citation), explores interactive scene manipulation, demonstrating how subtle human gestures can guide generative models to edit object placements and motions in real time. Together, these contributions showcase his ability to merge physical intuition with deep learning, offering tools that make generative content more controllable and immersive. With a growing citation footprint and a knack for tackling underexplored problems, Van Hoorick is emerging as a key voice in next-generation visual media generation.