mattiaspaul's Stars
lllyasviel/ControlNet
Let us control diffusion models!
NVIDIA/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
whitphx/streamlit-webrtc
Real-time video and audio processing on Streamlit
open-mmlab/mmflow
OpenMMLab optical flow toolbox and benchmark
chenhsuanlin/bundle-adjusting-NeRF
BARF: Bundle-Adjusting Neural Radiance Fields š¤® (ICCV 2021 oral)
HuguesTHOMAS/KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
YanchaoYang/FDA
Fourier Domain Adaptation for Semantic Segmentation
POSTECH-CVLab/point-transformer
This is an unofficial implementation of the Point Transformer paper.
OpenGVLab/DCNv4
[CVPR 2024] Deformable Convolution v4
airlab-unibas/airlab
Image registration laboratory for 2D and 3D image data
ppliuboy/SelFlow
SelFlow: Self-Supervised Learning of Optical Flow
rabbityl/DeformingThings4D
[ICCV 2021] A dataset of non-rigidly deforming objects.
RobinBruegger/RevTorch
Framework for creating (partially) reversible neural networks with PyTorch
intra3d2019/IntrA
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
gaocong13/Projective-Spatial-Transformers
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
tiny-smart/dysample
(ICCV'23) Learning to Upsample by Learning to Sample
YaoZhang93/mmFormer
[MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation"
cwmok/Conditional_LapIRN
Conditional Deformable Image Registration with Convolutional Neural Network
weiyithu/PV-RAFT
[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
BDdeVos/TorchIR
Deep learning image registration library for PyTorch
agaldran/cost_sensitive_loss_classification
A straightforward mechanism to implement cost sensitive losses in pytorch
pianoza/LayerEnsembles
The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).
samb-t/x2ct-vqvae
fraunhoferhhi/pytorch2tikz
Generate Tikz figures from pytorch models
multimodallearning/pdd2.5
multimodallearning/slic_reg
Rethinking the Design of Learning based Inter-Patient Registration using Deformable Supervoxels (MIDL 2021)
JeroenBertels/dicegrad
Analyzing the gradients of the Dice loss in the context of missing or empty labels.
afids/afids-data
manual curated brain anatomical landmark data on common neuroimaging datasets