mattiaspaul
Follow
Stars
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Real-time video and audio processing on Streamlit
Kernel Point Convolution implemented in PyTorch
BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)
This is an unofficial implementation of the Point Transformer paper.
Fourier Domain Adaptation for Semantic Segmentation
Image registration laboratory for 2D and 3D image data
SelFlow: Self-Supervised Learning of Optical Flow
[ICCV 2021] A dataset of non-rigidly deforming objects.
Framework for creating (partially) reversible neural networks with PyTorch
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
(ICCV'23) Learning to Upsample by Learning to Sample
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
[MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation"
The official website for uniGradICON: A Foundation Model for Medical Image Registration
Conditional Deformable Image Registration with Convolutional Neural Network
[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
Deep learning image registration library for PyTorch
A straightforward mechanism to implement cost sensitive losses in pytorch
The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).
Generate Tikz figures from pytorch models
Deep learning intra-modality image registration arhitecture fulfilling strict symmetry properties
Rethinking the Design of Learning based Inter-Patient Registration using Deformable Supervoxels (MIDL 2021)
Analyzing the gradients of the Dice loss in the context of missing or empty labels.