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mm's Projects

pifuhd icon pifuhd

High-Resolution 3D Human Digitization from A Single Image.

pix2vertex icon pix2vertex

Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation

plenopticam icon plenopticam

Light-field imaging application for plenoptic cameras

pointclouddatasets icon pointclouddatasets

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

pointmvsnet icon pointmvsnet

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

pointnet.pytorch icon pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

posa icon posa

Populating 3D Scenes by Learning Human-Scene Interaction https://posa.is.tue.mpg.de/

posecnn icon posecnn

A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

prnet icon prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

pseudo4dcnn icon pseudo4dcnn

End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN[C] European Conference on Computer Vision (ECCV) 2018

pvcnn icon pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

python-pcl icon python-pcl

Python bindings to the pointcloud library (pcl)

pytorch-3dunet icon pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-human-pose-estimation icon pytorch-human-pose-estimation

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

pytorch3d icon pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

real-time-network icon real-time-network

real-time network architecture for mobile devices and semantic segmentation

real-time-rendering-3rd-cn-summary-ebook icon real-time-rendering-3rd-cn-summary-ebook

:blue_book: 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》,也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣,或者《Real-Time Rendering 4th》的前置阅读材料。

resources icon resources

A list of data sets and other resources for light fields for computer vision

rgbd2normal icon rgbd2normal

Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)

ric icon ric

Robust Interpolation of Correspondences for Large Displacement Optical Flow, CVPR 2017, (in OpenCV now)

rma-net icon rma-net

the code of the paper: Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)

rotate-and-render icon rotate-and-render

Code for Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images (CVPR 2020)

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