[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

Last update: Dec 26, 2022

Overview

[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

YouTube | arXiv

Prerequisites

Kaolin is available here: https://github.com/NVIDIAGameWorks/kaolin

Running

The code can be easily run by:

python optimize.py

Running with your inputs:

python optimize.py --im examples/vol_im.png --bgr examples/vol_bgr.png
python optimize.py --im examples/aerobie_im.png --bgr examples/aerobie_bgr.png
python optimize.py --im examples/pen_im.png --bgr examples/pen_bgr.png

The results will be written to the output folder.

Reference

If you use this repository, please cite the following publication:

@misc{sfb,
  title = {Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects},
  author = {Denys Rozumnyi and Martin R. Oswald and Vittorio Ferrari and Marc Pollefeys},
  booktitle = {NeurIPS},
  month = {Dec},
  year = {2021}
}

You might also like...

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian (CVPR 2022)

Pop-Out Motion Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian (CVPR 2022) Jihyun Lee*, Minhyuk Sung*, Hyunjin Kim, Tae-Ky

88 Nov 22, 2022

Code for Discriminative Sounding Objects Localization (NeurIPS 2020)

Discriminative Sounding Objects Localization Code for our NeurIPS 2020 paper Discriminative Sounding Objects Localization via Self-supervised Audiovis

51 Dec 11, 2022

A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

HandTrackingBrightnessControl A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up

19 Feb 12, 2022

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

DeepMLS: Deep Implicit Moving Least-Squares Functions for 3D Reconstruction This repository contains the implementation of the paper: Deep Implicit Mo

103 Dec 22, 2022

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera

494 Jan 6, 2023

Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data

LiDAR-MOS: Moving Object Segmentation in 3D LiDAR Data This repo contains the code for our paper: Moving Object Segmentation in 3D LiDAR Data: A Learn

394 Dec 29, 2022

Simulation of moving particles under microscopic imaging

Simulation of moving particles under microscopic imaging Install scipy numpy scikit-image tiffile Run python simulation.py Read result https://imagej

2 Dec 14, 2021

High-performance moving least squares material point method (MLS-MPM) solver.

High-Performance MLS-MPM Solver with Cutting and Coupling (CPIC) (MIT License) A Moving Least Squares Material Point Method with Displacement Disconti

2.2k Dec 31, 2022

Predict multi paths to a moving person depending on his trajectory history.

Multi-future Trajectory Prediction The project is about using the Multiverse model to make possible multible-future trajectory prediction for a seen p

1 Jan 18, 2022

Comments

cannot import name 'total_variation' from 'kornia'

hi!

what an interesting work!

I have some trouble running the test demo. I have downloaded the newest kornia from pip and tried this https://github.com/kornia/kornia/discussions/1290, but still, get the problem. I wonder if you could give your environment requirements to run the test.

thx :)

Traceback (most recent call last):
  File "optimize.py", line 7, in <module>
    from shapefromblur import *
  File "/dev-data/xxx/projects/SfB/ShapeFromBlur-main/shapefromblur.py", line 12, in <module>
    from models.loss import *
  File "/dev-data/xxx/projects/SfB/ShapeFromBlur-main/models/loss.py", line 3, in <module>
    from kornia import total_variation
ImportError: cannot import name 'total_variation' from 'kornia'

opened by Ayxm1412 2

Releases(v1.0)

v1.0(Jul 9, 2021)

Initial release with simple use-case example.
Source code(tar.gz)
Source code(zip)

Owner

Denys Rozumnyi

PhD student at ETH Zurich.

GitHub Repository https://github.com/rozumden/ShapeFromBlur

TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL, and utterance id

TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL

3 Dec 26, 2022

The world's simplest facial recognition api for Python and the command line

Face Recognition You can also read a translated version of this file in Chinese 简体中文版 or in Korean 한국어 or in Japanese 日本語. Recognize and manipulate fa

46.9k Jan 03, 2023

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

1.3k Jan 02, 2023

[CVPR2021] De-rendering the World's Revolutionary Artefacts

De-rendering the World's Revolutionary Artefacts Project Page | Video | Paper In CVPR 2021 Shangzhe Wu1,4, Ameesh Makadia4, Jiajun Wu2, Noah Snavely4,

49 Nov 06, 2022

Wav2Vec for speech recognition, classification, and audio classification

Soxan در زبان پارسی به نام سخن This repository consists of models, scripts, and notebooks that help you to use all the benefits of Wav2Vec 2.0 in your

140 Dec 15, 2022

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++).

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for vox

32 Dec 08, 2022

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Python library with Neural Networks for Image Segmentation based on Keras and TensorFlow. The main features of this library are: High level API (just

4.2k Jan 09, 2023

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data By Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, W

141 Apr 16, 2021

Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Instrument Recognition.

Music Trees Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Ins

32 Nov 22, 2022

Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021, Pytorch)

S2VD Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021) Requirements and Dependencies Ubuntu 16.04, cuda 10.0 Python 3.6.10, P

53 Nov 23, 2022

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

Caffe SegNet This is a modified version of Caffe which supports the SegNet architecture As described in SegNet: A Deep Convolutional Encoder-Decoder A

1.1k Jan 02, 2023

Automatic caption evaluation metric based on typicality analysis.

SeMantic and linguistic UndeRstanding Fusion (SMURF) Automatic caption evaluation metric described in the paper "SMURF: SeMantic and linguistic UndeRs

6 Jan 09, 2022

VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets

VGGVox models for speaker identification and verification This directory contains code to import and evaluate the speaker identification and verificat

338 Dec 27, 2022

[ICME 2021 Oral] CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning

CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning This repository is the official PyTorch implementation of CORE-Text, a

18 Aug 11, 2022

An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities.

Playground for CLIP-like models Demo Colab Link GradCAM Visualization Naive Zero-shot Detection Smarter Zero-shot Detection Captcha Solver Changelog 2

101 Dec 30, 2022

Ranking Models in Unlabeled New Environments （iccv21）

Ranking Models in Unlabeled New Environments Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch 1.7.0 + torchivision 0.8.1

14 Dec 17, 2021

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

CM-NAS Official Pytorch code of paper CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification in ICCV2021. Vis

40 Nov 25, 2022

RTSeg: Real-time Semantic Segmentation Comparative Study

Real-time Semantic Segmentation Comparative Study The repository contains the official TensorFlow code used in our papers: RTSEG: REAL-TIME SEMANTIC S

592 Nov 18, 2022

Exploring Machine Learning Models for detecting anomalous behavior in credit-card transactions. It's crucial that credit-card companies are able to recognize fraudulent activity so that customers are not charged for items they didn't purchase.

Credit Card Fraud Detection Came across this mocked-up dataset of customer transactions at [Capital One Recruitment Challenge](https://github.com/Capi

1 Nov 17, 2022

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [BCNet, CVPR 2021] This is the official pytorch implementation of BCNet built on

434 Dec 01, 2022

[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

Related tags

Overview

[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

YouTube | arXiv

Prerequisites

Running

Reference

You might also like...

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian (CVPR 2022)

Code for Discriminative Sounding Objects Localization (NeurIPS 2020)

A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera

Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data

Simulation of moving particles under microscopic imaging

High-performance moving least squares material point method (MLS-MPM) solver.

Predict multi paths to a moving person depending on his trajectory history.

Comments

cannot import name 'total_variation' from 'kornia'

Releases(v1.0)

v1.0(Jul 9, 2021)

Owner

Denys Rozumnyi

TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL, and utterance id

The world's simplest facial recognition api for Python and the command line

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

[CVPR2021] De-rendering the World's Revolutionary Artefacts

Wav2Vec for speech recognition, classification, and audio classification

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++).

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Instrument Recognition.

Semi-supervised Video Deraining with Dynamical Rain Generator (CVPR, 2021, Pytorch)

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

Automatic caption evaluation metric based on typicality analysis.

VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets

[ICME 2021 Oral] CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning

An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities.

Ranking Models in Unlabeled New Environments （iccv21）

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

RTSeg: Real-time Semantic Segmentation Comparative Study

Exploring Machine Learning Models for detecting anomalous behavior in credit-card transactions. It's crucial that credit-card companies are able to recognize fraudulent activity so that customers are not charged for items they didn't purchase.

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]