Monocular depth estimation reconstructs three-dimensional scene geometry from a single two-dimensional image, addressing the intrinsic ambiguity of inferring spatial structure from limited visual cues ...

The proposed method takes as input the focal stack and camera settings, and establishes a cost volume based on a lens defocus model. This design enables depth estimation with different camera settings ...

Depth estimation from spherical imagery seeks to reconstruct three-dimensional structure across a full 360° field of view. Conventional perspective techniques must be adapted to account for the radial ...

Lighter images represent pre-2020 models with limited data and images to use(sub-one million parameters); darker images post-2020 represent models using over a million parameters with the darkest ...

Meta AI Research open-sourced DINOv2, a foundation model for computer vision (CV) tasks. DINOv2 is pretrained on a curated dataset of 142M images and can be used as a backbone for several tasks, ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

SHANGHAI--(BUSINESS WIRE)--Robbyant, an embodied AI company within Ant Group, today announced the launch of LingBot-Depth 2.0, a next-generation spatial perception model, alongside its foundational ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

NAVER Labs Europe publishes ten peer-reviewed papers at ECCV 2026 in Malmo, Sweden this September, anchored by a robot navigation breakthrough: a frozen Vision Transformer with one scalar per image ...

Tangram Vision, a startup building software and hardware for robotic perception, unveiled a new 3D depth sensor today called HiFi that packs powerful computer vision capabilities into an off-the-shelf ...

Vision is a powerful human sensory input. It enables complex tasks and processes we take for granted. With an increase in AoT™ (Autonomy of Things) in diverse applications ranging from transportation ...