bbossam's repositories
SHERF
Code for our ICCV'2023 paper "SHERF: Generalizable Human NeRF from a Single Image"
v2e
V2E: From video frames to DVS events
rpg_vid2e
Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pifuhd
High-Resolution 3D Human Digitization from A Single Image.
stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
SelFlow
SelFlow: Self-Supervised Learning of Optical Flow
PSMNet
Pyramid Stereo Matching Network (CVPR2018)
lidar_camera_calibration
ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785
occupancy_flow
This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"
PIFu-1
This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
DeepHuman
Code for our ICCV paper "DeepHuman: 3D Human Reconstruction from a Single Image"
human_body_prior
VPoser: Variational Human Pose Prior
rpg_e2vid
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
DF2Net
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction
Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
vrn
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
bbossam
Personal page
Road-Lane-Instance-Segmentation-PyTorch
tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.
GIBVH
GPU image-based visual hull implemntation C++/ CUDA