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arXiv Computer Vision By Adrien Ramanana Rahary, Nicolas Dufour, Patrick Perez, David Picard

One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation

Read the original on arXiv Computer Vision →

The paper introduces OVIE, a monocular novel-view synthesis method that eliminates the need for multi‑view training data. By using a frozen depth estimator to generate pseudo‑target views from single images and applying masked and adversarial losses, OVIE is trained on 30 million uncurated images. It achieves state‑of‑the‑art performance on RealEstate10K and DL3DV, produces highly consistent multi‑view trajectories, and runs at 116 FPS—over 600× faster than the fastest baseline.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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