Stars
A comprehensive list of awesome document image rectification papers.
Unofficial implementation of ''BEDSR-Net: A Deep Shadow Removal from a Single Document Image'' with PyTorch
[ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434
The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.
Code release for NeRF (Neural Radiance Fields)
BBR Bufferbloat in DASH Video Project published at WWW 2021
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Code for the paper Shape Reconstruction by Learning Differentiable Surface Representations accepted to CVPR'20
CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch
Normalizing flows in PyTorch. Current intended use is education not production.
Adding positional encoding to the input preserves sharp edges in the image
This code implements the approach for the following research paper: Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading; B. Haefner, Y. Quéau, T. Möl…
Visual Emotion Prediction (as a single-label problem) -- MS Thesis
[ICCV'19] CompenNet++: End-to-end Full Projector Compensation
An Invitation to 3D Vision: A Tutorial for Everyone
gmonitor is a GPU monitor (Nvidia only at the moment)
A resource repository for 3D machine learning