Weize Li (EricLee0224)

EricLee0224

Geek Repo

Company:AIR, Tsinghua Univ. @AIR-DISCOVER

Location:Beijing, China

Home Page:ericlee0224.github.io

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Weize Li's repositories

awesome-nerf-editing

🧙🏻‍♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.

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PAD

[NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection.

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McADTR

[AIR-DISCOVER Summer Research] Multi-class Anomaly Detection Transformer with Heterogenous Knowledge Distillation

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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cs-self-learning

计算机自学指南

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CuboidAbstractionViaSeg

This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds"

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CutPaste

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

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GeoCode

GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.

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Grad-CAM.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

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Holodeck

Language Guided Generation of 3D Embodied AI Environments.

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instruct-nerf2nerf

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (ICCV 2023)

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Meta-FDMixup

Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data

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multi-scene-pose-transformer

Multi-Scene Camera Pose Regression with Transformers

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neural_parts

Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021

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occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

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ProGRIP

Unsupervised Learning of Shape Programs with Repeatable Implicit Parts

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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RegAD

[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

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SegmentAnythingin3D

Segment Anything in 3D with NeRFs

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UniAD

[NeurIPS 2022] A Unified Model for Multi-class Anomaly Detection

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uninformed-students-pytorch

A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.

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