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11 to 20 of 12,398 Results
Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams
Jun 7, 2025
Rudnev, Viktor; Fox, Gereon; Elgharib, Mohamed; Theobalt, Christian; Golyanik, Vladislav, 2025, "Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams", https://doi.org/10.17617/3.AD2LQB, Edmond, V1
Volumetric reconstruction of dynamic scenes is an important problem in computer vision. It is especially challenging in poor lighting and with fast motion. This is partly due to limitations of RGB cameras: To capture frames under low lighting, the exposure time needs to be increased, which leads to more motion blur. In contrast, event cameras, whic...
processed_real.tar.xz
Jun 7, 2025 - Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams
XZ Archive - 8.7 GB - MD5: b6bbbcf139d0deb093ec524e1b40b6ba
Processed real data
processed_synth.tar.xz
Jun 7, 2025 - Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams
XZ Archive - 1.8 GB - MD5: 28c32e09cb25dc530192ce570788c9d3
Synthetic scenes
raw.tar.xz
Jun 7, 2025 - Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams
XZ Archive - 66.9 GB - MD5: 3e81033e599593a5afd63277cb3e301e
Raw performance and calibration recordings
Multiple cortical systems influence a single vibrissa muscle
May 15, 2025
Maharjan, Aman; Jason M. Guest; RATHELOT, JEAN-ALBAN; Fiorella M. Gomex Osorio; Strick, Peter; Oberlaender, Marcel, 2025, "Multiple cortical systems influence a single vibrissa muscle", https://doi.org/10.17617/3.0MKVBP, Edmond, V1
This repository contains the images and reconstructions data published in Maharjan et al., PNAS 2025. Abstract: What is the neural substrate that enables the cerebral cortex to control a single mystacial vibrissa and orchestrate its movement? To answer this question, we injected rabies virus into the intrinsic muscle that protracts the rat C3 vibri...
MG48.zip
May 15, 2025 - Multiple cortical systems influence a single vibrissa muscle
ZIP Archive - 42.5 GB - MD5: 86b9333184b51a7082e835ec3959c8ba
The MG48 dataset consists of two main ZIP folders: Brainstem and Cortex. Each of these folders contains subdirectories organized by section. Within each section folder, the following data types are included: NeuN images – representing general neuronal labeling. Rabies images – showing rabies virus infected neurons. Landmark files – containing co...
MG49.zip
May 15, 2025 - Multiple cortical systems influence a single vibrissa muscle
ZIP Archive - 38.3 GB - MD5: 0db4cbc86564d0262b0bf66586d555ea
The MG49 dataset consists of three ZIP folders corresponding to different brain regions and sectioning methods: Brainstem – sectioned coronally Contralateral Cortex – sectioned tangentially Ipsilateral Cortex – sectioned tangentially Each folder contains section-wise subdirectories with the following contents: NeuN images – showing general neu...
MG50.zip
May 15, 2025 - Multiple cortical systems influence a single vibrissa muscle
ZIP Archive - 37.0 GB - MD5: 15f44f33792ed98c0444b93ac3470de3
The MG50 dataset consists of three ZIP folders corresponding to different brain regions and sectioning methods: Brainstem – sectioned coronally Contralateral Cortex – sectioned tangentially Ipsilateral Cortex – sectioned tangentially Each folder contains section-wise subdirectories with the following contents: NeuN images – showing general ne...
GARFIELD, a toolkit for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals
May 6, 2025
Epp, Sascha; Marx, Alexander, 2024, "GARFIELD, a toolkit for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals", https://doi.org/10.17617/3.CXELBR, Edmond, V3
Software distribution for installation of the GARFIELD toolkit useful for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals. This repository will stay on GARFIELD version 0.2.0 For the most recent version please visit: https://gitlab.gwdg.de/gf/garfield/updates/-/releases/permalink/latest
Garfield_v0.2.0_b.zip
May 6, 2025 - GARFIELD, a toolkit for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals
ZIP Archive - 25.5 MB - MD5: 0acb3a7d3c77295067d62fa5729536c6
GARFIELD vers. 0.2.0_b distribution with changes for compatibility with R release 4.5.0
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