3D Visual Illusion Depth Estimation
Journal:
arXiv
Published Date:
May 19, 2025
Abstract
3D visual illusion is a perceptual phenomenon where a two-dimensional plane
is manipulated to simulate three-dimensional spatial relationships, making a
flat artwork or object look three-dimensional in the human visual system. In
this paper, we reveal that the machine visual system is also seriously fooled
by 3D visual illusions, including monocular and binocular depth estimation. In
order to explore and analyze the impact of 3D visual illusion on depth
estimation, we collect a large dataset containing almost 3k scenes and 200k
images to train and evaluate SOTA monocular and binocular depth estimation
methods. We also propose a robust depth estimation framework that uses common
sense from a vision-language model to adaptively select reliable depth from
binocular disparity and monocular depth. Experiments show that SOTA monocular,
binocular, and multi-view depth estimation approaches are all fooled by various
3D visual illusions, while our method achieves SOTA performance.
