📢 Looking for #PhD? Ψάχνεις για #διδακτορικό? My team #3DI has 3 open positions in our #ERC project on perceiving 3D human-object interaction; a step towards world models for avatars/physical-AI!
👉Apply: https://t.co/jeyYzNJb2y →Early 🐦 eats 🪱
📍@Auth_University Thessaloniki/Greece
🙏Plz help spread the word
📢 I am #hiring 2x #PhD candidates to work on Human-centric #3D#ComputerVision at the University of #Amsterdam! 📢
The positions are funded by an #ERC#StartingGrant.
For details and for submitting your application please see:
https://t.co/rpCcCDcFul
🆘 Deadline: Feb 16 🆘
Excited to present our recent work "LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models" next week at #NeurIPS2024.
Please join us at our poster session next Thursday (December 12th) from 11:00 - 14:00 at East Exhibit Hall A-C #2604.
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A model that generates hand-object interactions based on text prompts!
I'm happy to share our @SIGGRAPHAsiapaper “DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions”.
https://t.co/JbKosU1cHl
A purely synthetic face prior can generalize to casual in-the-wild captures and stylized faces 🤯
I'm happy to share our @SIGGRAPHAsia paper “Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures.”
https://t.co/UPNMexPbRc
Reconstructing 3D human-object interactions from images/videos is a key step towards realistic #3D humans for #AR/#VR and assistive #robots/#AI.
To tackle this challenging problem my team and I have received an ERC Starting Grant 🎉 #ERCStG
📢 We look for 3x #PhD candidates!
We highly value a strong programming and mathematical background in candidates, along with a strong creativity, curiosity, self-motivation and team spirit!
We offer an exciting opportunity to conduct internationally visible #research in the stimulating environment of the University of Amsterdam (@UvA_Amsterdam, @UvA_Science, @Ellis_Amsterdam) along with a strong network of international collaborators, with a competitive compensation, while working in the brand new Lab42 building and living in one of the world’s most lively and liveable cities!
The goal is performing cutting-edge fundamental research, publishing at top-tier venues, releasing data and code for the community, and introducing new research problems.
If you are attending #ECCV2024 and have questions, I am happy to discuss with you at MiCo! (plz ping me via email)
🆘 Application deadline: Oct 31 🆘 CEST timezone
👉👉 We accept applications only through the portal below (includes a general description, application requirements, and employment conditions & benefits:
https://t.co/wOWozUlmOW
As a closing remark, a big thanks to @ERC_Research, all reviewers and panel members, as well as to all collaborators that contributed along the years for this exciting opportunity to arise! 🙏
Are you interested in hair reconstruction, human pose and shape estimation, digital human with clothing deformation, and hand-object interaction? Checkout our ECCV papers in the poster session at #ECCV2024! See 🧵.
🚀 #CVPR2024 is almost here! Next week, AIT will present 8 papers at the conference. We're excited to share overviews of each project right here. Looking forward to connecting with you all in Seattle! 🌟
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#CVPR2024 Highlight: HOLD (https://t.co/p6wfctnTsQ) is a self-supervised method to reconstruct 3D hand-object from RGB videos. It is category-agnostic, does not require an object template, generalizes to in-the-wild settings!
Introducing "cads: unleashing the diversity of diffusion models through condition-annealed sampling"
TL;DR: CADS is an inference method to increase the diversity of diffusion models while maintaining high quality.
@ETH_en@ait_eth#ICLR2024
https://t.co/yJC3HCgAb3
see the 🧵
In 2022, I finished 2 half marathons, 2 MTB races, and my computer vision research group was firing on all cylinders. In 2023 our lives were turned upside down by severe #LongCovid and #MECFS.
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Given a monocular video as input, #HOLD reconstructs 3D hand and object surfaces for every frame without assuming a known object template. Our key insight is that interacting hands and objects provide complementary cues about each other's shape and pose. 1/4
Introducing "Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis".
TL;DR: Novel views of faces at ultra-high 4K resolution from very few input images.
@GoogleARVR@ETH_en@ait_eth#ICCV2023.
https://t.co/n2FZ6jmaxk
See thread below.
We are excited to share EMDB, a novel dataset of 3D human poses for in-the-wild monocular videos, including global trajectories. Data and toolkit code is now available. More details in the thread below.
Project Page: https://t.co/U9ekTLSiV2
Happy to share our new paper on hair reconstruction that will appear at #ICCV2023, congrats to @ness_pirs and colleagues!
We produce a detailed and personalized strand-based hairstyle from the monocular video.
Project page: https://t.co/pXKVKt7rwk
More details in the thread 🧵
#CVPR Our AIT members are in Vancouver! Come to join our poster sessions! Here we show the schedule of our latest research grouped by poster sessions. Monday AM: Generalized Skill Embeddings
Implicit surfaces are great to reconstruct 3D humans. However, editing is hard because the geometry is represented by a single continuous function. In our upcoming #CVPR2023 paper, we overcome this by combining the advantages of explicit and implicit representations.
🧵👇
Warning: personal and emotional thread.
Today is #MEAwarenessDay and we are heartbroken 💔. Our smart, athletic, ball-of-energy 10 year old is now bedridden and unable to stand or walk since January due to #LongCOVID and #MECFS. #LongCovidKids
👇🧵
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