We introduce the Panoptic 3D Reconstruction task a unified and holistic scene
understanding task for a monocular video. And we present PanoRecon-a novel framework …

Extended Reality (XR) enables immersive experiences through untethered headsets but
suffers from stringent battery and resource constraints. Energy-efficient design is crucial to …

In stereo matching, CNNs have traditionally served as the predominant architectures.
Although Transformer-based stereo models have been studied recently, their performance …

Existing methods in neural scene reconstruction utilize the Signed Distance Function (SDF)
to model the density function. However, in indoor scenes, the density computed from the …

Digitising the 3D world into a clean, CAD model-based representation has important
applications for augmented reality and robotics. Current state-of-the-art methods are …

We introduce a novel learning method that can effectively perceive both the geometry
structure and semantic labels of a 3D scene in real time. Existing real-time 3D scene …

We introduce Metric3D v2, a geometric foundation model for zero-shot metric depth and
surface normal estimation from a single image, which is crucial for metric 3D recovery. While …

Single-image depth estimation is essential for endoscopy tasks such as localization,
reconstruction, and augmented reality. Most existing methods in surgical scenes focus on in …

Guided depth super-resolution (GDSR) involves restoring missing depth details using the
high-resolution RGB image of the same scene. Previous approaches have struggled with …

We propose a novel online, point-based 3D reconstruction method from posed monocular
RGB videos. Our model maintains a global point cloud representation of the scene …