paulpanwang

POPE

Welcome to the project repository for POPE (Promptable Pose Estimation), a state-of-the-art technique for 6-DoF pose estimation of any object in any scene using a single reference.

Cas6D

[3D Vision 2024] A new cascade framework named Cas6D for few-shot 6DoF pose estimation that is generalizable and uses only RGB images.

Gen6DNeRF

ABCPruner

Pytorch implementation of our IJCAI 2020 -- Channel Pruning via Automatic Structure Search

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

CDCN

Central Difference Convolutional Networks

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

DenseFusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

FacePose_pytorch

🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨)

generators-with-stylegan2

Here is a series of face generators based on StyleGAN2

GeoNeRF

Generalizing NeRF with Geometry Priors

GNT

[Preprint 2022] "Is Attention All NeRF Needs?" by Mukund Varma T*, Peihao Wang* , Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

inerf

6DoF Pose Estimation using Neural Radiance Fields

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

mgd

Matching Guided Distillation (ECCV 2020)

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

morefusion

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020

MQBench_Quantize

QAT(quantize aware training) for classification with MQBench

NeuRay

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

OnePose_Plus_Plus

Code for "OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models" NeurIPS 2022

PAE

Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chein-Hung Chen, Yi-Ming Chan and Chu-Song Chen. "Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning" 2019 ACM on International Conference on Multimedia Retrieval

paulpanwang

paulpanwang.github.io

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

S-LoRA

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

TFace

A trusty face recognition research platform developed by Tencent Youtu Lab

Unseen_Object_Pose

yolodet-pytorch

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

YOLOv5-Multibackbone-Compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.