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PeterZhouSZ's Projects

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densesurfelmapping icon densesurfelmapping

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

depth-aware-motion-deblurring icon depth-aware-motion-deblurring

Mirror from https://square-src.de/gitlab/franzi/study-thesis. This is my study thesis - a reference implementation of the depth-aware motion deblurring algorithm by Xu and Jia.

depth-hand icon depth-hand

Single view depth image based hand detection and pose estimation.

depth-transfer icon depth-transfer

Code accompanying TPAMI 2014 paper "DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling"

depthnets icon depthnets

Code for "Unsupervised Depth Estimation, 3D Face Rotation and Replacement", NeurIPS 2018

depthsrfromshading icon depthsrfromshading

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. Möllenhoff, D. Cremers; Computer Vision and Pattern Recognition (CVPR), 2018.

desci icon desci

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

desia icon desia

DESIA: A General Framework for Designing Interlocking Assemblies

desk icon desk

DESK exposing server kit : HTML5 solution for remote processing and visualization

dest icon dest

:panda_face: One Millisecond Deformable Shape Tracking Library (DEST)

detectinblur icon detectinblur

Code for the CVPR 2021 paper "Improved Handling of Motion Blur in Online Object Detection"

detic icon detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

developability-of-heightfields icon developability-of-heightfields

Public code release for "Developability of Heightfields via Rank Minimization", presented at SIGGRAPH 2020 and authored by Silvia Sellán, Noam Aigerman and Alec Jacobson

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