🚀 Introducing Articraft, a coding agent for articulated 3D asset creation.
Articraft writes code, executes it, receives validation feedback, and refines the result into simulation-ready 3D assets with parts, joints, and motion.
We’re also releasing Articraft-10K: 10,000+
I will be joining @Cambridge_Eng as an Assistant Professor in spring 2025, together with @_atewari.
Clearly have been missing the good old UK rain after a wonderful year in California. Looking forward to opening this new chapter with brilliant colleagues and students!
🎠🎠 We're presenting MagicPony at CVPR!
It turns a photo of an animal into a fully articulated 3D model ready for animation. It is trained using just online images, without any 3D data, keypoints or template shapes.
3dmagicpony.github.io
Drop by our poster on Wed morning!
Let's turn photos of ancient "revolutionary" (rotationally symmetric) artefacts into 3D and rotate them, or even change the lighting!
Our model learns to de-render a single image of a vase into shape, albedo, material & lighting, from just a single-image collection. #CVPR2021
I have passed my DPhil viva (defense) 🎓!
Four years flew by 💨 It is very sad to be leaving this wonderful place and so many lovely people @Oxford_VGG 😢
Thank you the Best Advisors Andrea and @chrirupp who have shaped me into who I am today!
Nature presents a captivating confluence of similarity and diversity.
Our new method 3D-Fauna learns a pan-category articulated 3D model of quadruped animals from Internet photos. At test time, it turns a single image into an animatable textured 3D mesh in a feed-forward pass.
I'm building a new research lab @Cambridge_Eng focusing on 4D computer vision and generative models.
Interested in joining us as a PhD student? Apply to the Engineering program by Dec 3 🗓️
postgraduate.study.cam.ac.uk/courses/direct…
ChatGPT's "portrait of my current life"👇
elliottwu.com
🕊️ DOVE: Learning Deformable 3D Objects by Watching Videos
Our method learns articulated 3D birds from only monocular videos, with automatically obtained masks and optical flow.
No keypoints, camera viewpoint or template shapes required!
Check the demo: dove3d.github.io
We are extremely honored to receive the Best Paper Award #CVPR2020!
I'd like to thank @chrirupp and Andrea for their enormous guidance and constant support all the way, especially when nothing actually worked after months.
We've been working on an open-source software for 3D animal reconstruction and generation, using just images and videos available online:
github.com/3DAnimals/3DAn…
After all, who'd want to live in virtual worlds without animals and nature 🐾?
🦌🦒🐫🦛🦣🐎🐃🐆🐕🐿️🐇🐖
Nature presents a captivating confluence of similarity and diversity.
Our new method 3D-Fauna learns a pan-category articulated 3D model of quadruped animals from Internet photos. At test time, it turns a single image into an animatable textured 3D mesh in a feed-forward pass.
Super excited to announce that our workshop proposal on Unsup3D: Unsupervised 3D Learning in the Wild has been accepted to #ICCV2021!
We're putting together an incredible line-up of talks! Stay tuned! @ICCV_2021
Congrats to the team @chrirupp @NataliaNeverova Paolo & Andrea
Schedule of the Neural Geometry and Rendering Workshop #ECCV22 is now available: ngr-co3d.github.io
This will happen in a hybrid mode on Monday Oct 24 @eccvconf
Mark it on your calendar: calendar.google.com/calendar/u/0?c…
And there is still TIME to participate in the CO3D Challenge!