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Xihang Yu

4 accepted papers

2026

Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling

RSS 2026poster

In the presence of occlusions and measurement noise, geometrically accurate scene reconstructions—which fit the sensor data—can still be physically incorrect. For instance, when estimating the poses and shapes of objects in the scene and importing the resulting estimates into a simulator, small erro…

Cited by 0SourceScholar
2024

APISR: Anime Production Inspired Real-World Anime Super-Resolution

CVPR 2024poster

While real-world anime super-resolution (SR) has gained increasing attention in the SR community existing methods still adopt techniques from the photorealistic domain. In this paper we analyze the anime production workflow and rethink how to use characteristics of it for the sake of the real-world…

2024

SIM-Sync: From Certifiably Optimal Synchronization Over the 3D Similarity Group to Scene Reconstruction With Learned Depth

RA-L 2024

We present <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SIM-Sync</monospace> , a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">certifiably optimal</i> algorithm that estimates camera trajector

Cited by 10SourcecodeScholar
2023

Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer

IROS 2023poster

This paper develops a novel slip estimator using the invariant observer design theory and Disturbance Observer (DOB). The proposed state estimator for mobile robots is fully proprioceptive and combines data from an inertial measurement unit and body velocity within a Right Invariant Extended Kalman…

Cited by 19SourcecodeScholar