This is a real prototype with all the 30 lines of code to reimplement it.
Source: http://www.3delement.com/?p=610
#AR
Source: http://www.3delement.com/?p=610
#AR
π₯Neural Point-Based Graphics
Breakthrough work on generating realistic 3D scenes in AR.
Demo: https://www.youtube.com/watch?v=7s3BYGok7wU
Project page: https://dmitryulyanov.github.io/neural_point_based_graphics
ArXiV: https://arxiv.org/pdf/1906.08240.pdf
#CV #AR #DL #SamsungAI
Breakthrough work on generating realistic 3D scenes in AR.
Demo: https://www.youtube.com/watch?v=7s3BYGok7wU
Project page: https://dmitryulyanov.github.io/neural_point_based_graphics
ArXiV: https://arxiv.org/pdf/1906.08240.pdf
#CV #AR #DL #SamsungAI
YouTube
Neural Point-Based Graphics
Full paper https://arxiv.org/abs/1906.08240
Project page https://dmitryulyanov.github.io/neural_point_based_graphics
Discussion on Reddit: https://www.reddit.com/r/MachineLearning/comments/chc220/research_neural_pointbased_graphics
#computergraphics #pointcloudβ¦
Project page https://dmitryulyanov.github.io/neural_point_based_graphics
Discussion on Reddit: https://www.reddit.com/r/MachineLearning/comments/chc220/research_neural_pointbased_graphics
#computergraphics #pointcloudβ¦
Punch to face project
The team of Punch To Face (supported by ODS.ai) is bringing AI to the sports channels. The main goal of the project is a full 3D reconstruction of MMA fights in Virtual Reality.
Youtube: https://youtu.be/l_4FK8nBmEA
Story on Twitter: https://twitter.com/punch_to_face/
#CV #3D #AR #VR
The team of Punch To Face (supported by ODS.ai) is bringing AI to the sports channels. The main goal of the project is a full 3D reconstruction of MMA fights in Virtual Reality.
Youtube: https://youtu.be/l_4FK8nBmEA
Story on Twitter: https://twitter.com/punch_to_face/
#CV #3D #AR #VR
YouTube
May 2020 - demo video: our current techniques and some tricks from research.
https://punchtoface.com/
We are looking for partners to cover our backs and accelerate our growth! If you are interested in collaborating with us, please, send us an e-mail to the following address:
welcome@punchtoface.com
If you like what we are doingβ¦
We are looking for partners to cover our backs and accelerate our growth! If you are interested in collaborating with us, please, send us an e-mail to the following address:
welcome@punchtoface.com
If you like what we are doingβ¦
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in the walls
by matt bierner
to make a scene from a horror movie when a face comes out of a wall like the 1st season of "Very Strange Things"
based on the arkit with ar & facetracking from the front camera
on the app store only: https://apps.apple.com/ru/app/in-the-walls/id1522257130?l=en
#arkit #ar #app
by matt bierner
to make a scene from a horror movie when a face comes out of a wall like the 1st season of "Very Strange Things"
based on the arkit with ar & facetracking from the front camera
on the app store only: https://apps.apple.com/ru/app/in-the-walls/id1522257130?l=en
#arkit #ar #app
Augmented Reality for Haptic Teleoperation of a Robot with an Event-Based Soft Tactile Sensor
This paper presents a new teleoperation approach using an augmented reality-based interface combined with optimized haptic feedback to finely manipulate visually occluded objects.
The dynamic growth of emerging Augmented Reality (AR) interfaces has a high potential interest in robotic telemanipulation of objects under limited visibility conditions. On the userβs horizon, the real-world environment is overlayed by the virtual images of the robot end-effector and the object. To optimize the user experience in teleoperation, the visual augmentation is accompanied by a haptic stimulus. They both transmit the rendered signal of the contact force visually and haptically, respectively. The contact force is measured by an optical event-based tactile sensor (E-BTS) with a soft pad, vibrotactile stimuli are generated by the hand-held device (HHD) and the AR is projected in the head-mounted device (HMD).
Authors demonstrated experimentally their approach on teleoperated robot arm puncturing an occluded non-rigid membrane placed in vertical raw with similar membranes. A comparative study with 10 subjects has been carried out to quantify the impact of AR in a force control task with a human in the control loop. The results of the experiment show a promising potential application in the cable insertion in an industrial assembly task.
Video: YouTube
#AR
This paper presents a new teleoperation approach using an augmented reality-based interface combined with optimized haptic feedback to finely manipulate visually occluded objects.
The dynamic growth of emerging Augmented Reality (AR) interfaces has a high potential interest in robotic telemanipulation of objects under limited visibility conditions. On the userβs horizon, the real-world environment is overlayed by the virtual images of the robot end-effector and the object. To optimize the user experience in teleoperation, the visual augmentation is accompanied by a haptic stimulus. They both transmit the rendered signal of the contact force visually and haptically, respectively. The contact force is measured by an optical event-based tactile sensor (E-BTS) with a soft pad, vibrotactile stimuli are generated by the hand-held device (HHD) and the AR is projected in the head-mounted device (HMD).
Authors demonstrated experimentally their approach on teleoperated robot arm puncturing an occluded non-rigid membrane placed in vertical raw with similar membranes. A comparative study with 10 subjects has been carried out to quantify the impact of AR in a force control task with a human in the control loop. The results of the experiment show a promising potential application in the cable insertion in an industrial assembly task.
Video: YouTube
#AR
YouTube
Augmented Reality and Haptic Teleoperation submitted to RA-L, 2021
π¦ Hi!
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL β post about deep neural networks (> 1 layer)
#cv β posts related to Computer Vision. Pictures and videos
#nlp #nlu β Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition β related to audio information processing
#ar β augmeneted reality related content
#rl β Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart β about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 β related to special architectures or frameworks
#coding #CS β content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface β hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL β post about deep neural networks (> 1 layer)
#cv β posts related to Computer Vision. Pictures and videos
#nlp #nlu β Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition β related to audio information processing
#ar β augmeneted reality related content
#rl β Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart β about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 β related to special architectures or frameworks
#coding #CS β content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface β hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
GitHub
ultimate_posts/where_to_start at master Β· open-data-science/ultimate_posts
Ultimate posts for opendatascience telegram channel - open-data-science/ultimate_posts