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PeterZhouSZ's Projects

deep-slomo icon deep-slomo

Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)

deep-sr-itm icon deep-sr-itm

Official repository of Deep SR-ITM (oral at ICCV 2019)

deep-synth icon deep-synth

Public code release for our SIGGRAPH 2018 paper "Deep Convolutional Priors for Indoor Scene Synthesis"

deep360pilot-cvpr17 icon deep360pilot-cvpr17

Official Implementation of CVPR 2017 Oral paper "Deep 360 Pilot: Learning a Deep Agent for Piloting through 360◦ Sports Videos"

deep3dfacerecon_pytorch icon deep3dfacerecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

deep3dmm icon deep3dmm

Official repository for the CVPR 2021 paper "Learning Feature Aggregation for Deep 3D Morphable Models"

deepblending icon deepblending

Neural network code for Deep Blending for Free-Viewpoint Image-Based Rendering (SIGGRAPH Asia 2018)

deepcad icon deepcad

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

deepcassi icon deepcassi

[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior

deepcc icon deepcc

Multi-Target, Multi-Camera Tracking

deepco3 icon deepco3

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

deepcurrents icon deepcurrents

Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries

deepdeform icon deepdeform

[CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data

deepdepthdenoising icon deepdepthdenoising

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf

deepecg icon deepecg

ECG classification programs based on ML/DL methods

deepface icon deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

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