[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
-
Updated
Sep 19, 2022 - Python
[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Official implementation of MSR-GCN (ICCV2021 paper)
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Multiscale Modeling
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.
Deep learning model to predict complex stress and strain fields in hierarchical composites
Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for audio event detection. Our goal is to improve audio event detection performance and recognize target audio events that have different lengths and accompany the complex audio back…
FFT-based Homogenization
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.
GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations
This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"
Add a description, image, and links to the multiscale topic page so that developers can more easily learn about it.
To associate your repository with the multiscale topic, visit your repo's landing page and select "manage topics."