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deformationgraph

A implemetation of deformation graph which was widely used in mesh deformation and non-rigid reconstruction

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

demo_rgbd

Depth Enhanced Monocular Odometry (RGBD camera version)

demo_rgbd_slimmed

Depth Enhanced Monocular Odometry (RGBD camera slimmed down version)

demosaicnet

An implementation of Deep Joint Demosaicking and Denoising - SiGGRAPH Asia 2016

demud

Discovery via Eigenbasis Modeling of Uninteresting Data

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

depth-diff-gaussian-rasterization

An extension to official diff-gaussian-rasterization with forward and backward depth pass

depthmap_dataset

Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.

depthsrfromshading

depthtsdf

dflat

D-Flat is a forward and inverse design framework for flat optics, specially geared to the design of metasurface optics for imaging and sensing.

dfusmc

Depth from Uncalibrated Small Motion Clip

diffoptics

This is the open source repository for our IEEE Transactions on Computational Imaging 2022 paper "dO: A differentiable engine for Deep Lens design of computational imaging systems".

diffractsim

✨ A diffraction simulator for exploring and visualizing physical optics.

diffusion_models_from_scratch

Creating a diffusion model from scratch in PyTorch to learn exactly how they work.

digital-gimbal

End-to-end deep image stabilization with learnable exposure times

digits

Deep GPU Training System

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

dirtypixels

dists

IQA: Deep Image Structure and Texture Similarity Metric

diy-hyperspectral

Code and notebooks for reproducing the method of "DIY hyperspectral imaging via polarization-induced spectral filters." Katherine Salesin, Dario Seyb, Sarah Friday, and Wojciech Jarosz. Proceedings of ICCP. 2022.

dlinputs

Input pipelines for large scale, sharded training of deep learning models.

dltrainers

Utility functions for training PyTorch models.

dockerfiles

dorn

dotfiles

config files

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

dpir

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

dpmmlowvar

Bayesian nonparametric small-variance asymptotic clustering algorithms