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vvenc
VVenC, the Fraunhofer Versatile Video Encodervvdec
VVdeC, the Fraunhofer Versatile Video Decoderneural-deferred-shading
Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)omaf.js
HTML5 MSE Playback of MPEG 360 VR Tiled StreamingSelf-Organizing-Gaussians
[ECCV '24] Compressing 3D Gaussian Splats by placing their parameters into a 2D grid with local smoothnessQuaDRiGa
QuaDRiGa, short for QUAsi Deterministic RadIo channel GenerAtor, is used for generating realistic radio channel impulse responses for system-level simulations of mobile radio networks.X-maps
[CVPRW '23] Real-time depth estimation with an event camera and a laser projectornncodec
Fraunhofer Neural Network Encoder/Decoder (NNCodec)DeepCABAC
gaussian_gan_decoder
[CVPRW '24] Turning the output of NeRF based 3D GANs into 3DGS scenes in a single forward pass.D-NeuS
Recovering Fine Details for Neural Implicit Surface Reconstruction (WACV2023)vvdecWebPlayer
A minimal proof-of-concept VVC player for the web using WebAssemblycasapose
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)xpsnr
A filter plug-in adding support for Extended Perceptually Weighted Peak Signal-to-Noise Ratio (XPSNR) measurements in FFmpegspvloc
[ECCV 2024] SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environmentspred6dof
Code for our ACMM'20 paper "Kalman Filter-based Head Motion Prediction for Cloud-based Mixed Reality"BerlinV2X
Support code and documentation for the Berlin V2X datasetpytorch2tikz
Generate Tikz figures from pytorch modelsPLAS
Parallel Linear Assignment Sorting - Sorting multi-dimensional data into locally smooth 2D grids.BTSeg
BarlowTwin SegementationDistSensIQE
Models for our paper on "Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network".CuriouslyEffectiveIQE
Reference implementation for our paper "Curiously Effective Features for Image Quality Prediction"SOLOPlanes
sidelink-mcs-measurements
Measurement data for the paper "From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication"libapsm
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