WebTo address this, we present a new High Quality Frames (HQF) dataset, containing events and ground truth frames from a DAVIS240C that are well-exposed and minimally motion … WebAug 23, 2024 · A challenge in evaluating event based video reconstruction is lack of quality ground truth images in existing datasets. To address this, we present a new High Quality Frames (HQF) dataset, containing events and ground truth frames from a DAVIS240C that are well-exposed and minimally motion-blurred. We evaluate our method on HQF + several …

[2003.09078v1] How to Train Your Event Camera Neural Network

Webstruction is lack of quality ground truth images in existing datasets. To address this, we present a new High Quality Frames (HQF) dataset, containing events and ground truth frames from a DAVIS240C that are well-exposed and minimally motion-blurred. We evaluate our method on HQF + several existing major event camera datasets. WebJun 14, 2024 · T able 3: Benchmarking on the High Quality Frames (HQF) DA VIS240 dataset. We do not fine-tune our method and other methods and use models provided by … philip sonderman

Back to Event Basics: Self-Supervised Learning of

WebA challenge in evaluating event based video reconstruction is lack of quality ground truth images in existing datasets. To address this, we present a new High Quality Frames (HQF) dataset, containing events and ground truth frames from a DAVIS240C that are well-exposed and minimally motion-blurred. WebHQF dataset real-world scenes (RWS) dataset Environment setup Environment Linux CUDA 8.0/9.0 gcc 4.9+ python 2.7+ Dependencies pytorch >=1.0.0 torchvision argparse numpy opencv-python scipy You can create a new Anaconda environment with the above dependencies as follows. WebApr 5, 2024 · Experiments on synthetic, semi-synthetic, and real-world datasets demonstrate that our proposed method outperforms state-of-the-art methods by a large margin in terms of both objective PSNR and... trvhat