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Xiaobing Han's Projects

superpoint_transformer icon superpoint_transformer

Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"

supmae icon supmae

This is a offical PyTorch/GPU implementation of SupMAE.

surfelmapping icon surfelmapping

Real time traffic scene mapping using dense surfel representation

surfelmeshing icon surfelmeshing

Real-time surfel-based mesh reconstruction from RGB-D video.

surfelmeshing-with-elasticfusion icon surfelmeshing-with-elasticfusion

elastic fusion与surfel meshing结合,前者算相机位姿,后者建图,在无轨迹文件的情况下,实时计算位姿并在线稠密重建

surfelwarp icon surfelwarp

SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction

surfnerf icon surfnerf

Implementation of Sat-NeRF, a new NeRF architecture applied to satellite imagery for surface reconstruction

svt icon svt

Official repository for "Self-Supervised Video Transformer" (CVPR'22)

swav icon swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

swin-transformer icon swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin3d icon swin3d

A shift-window based transformer for 3D sparse tasks

tats icon tats

Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)

tcl icon tcl

code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

text2room icon text2room

Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models.

tf-senet icon tf-senet

SE_ResNet && SE_ResNeXt with pretrained weights on ImageNet (SENet In TensorFlow)

tfc-pretraining icon tfc-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

theseus icon theseus

A library for differentiable nonlinear optimization

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