Abstract: We present a novel method for reconstructing a 3D implicit surface from a large-scale, sparse, and noisy point cloud. Our approach builds upon the recently introduced Neural Kernel Fields ...

Abstract: Adverse imaging conditions such as fog and dust present substantial challenges to optical camera and Light Detection and Ranging (LiDAR), which in turn highlights millimeter-wave radar as a ...

Abstract: Hyperspectral image (HSI) synthesis overcomes the limitations of imaging sensors and enables low-cost acquisition of HSIs with high spatial resolution. Using RGB as a conditional input for ...

This repository contains the official code for reproducing the experimental results presented in our paper, Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via ...