He/They | 🇯🇲 🇺🇸 | 3D #Artist & Programmer | #LibreSoftware Enthusiast | Animals on two feet are pretty cool. | other socials on website
Earth
Joined October 2020
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hare_ware retweeted
🔵🟡🔵Our paper "VOCA: Visual Odometry with Codec Awareness" has been accepted at #ECCV2026
Modern vision systems often work with compressed video but most methods ignore a lot of useful information that's already there.
📄arxiv.org/pdf/2607.00189
🔗 tum-vision.github.io/voca
hare_ware retweeted
finally sharing what i've been working on!
with help from the PSVR2Toolkit devs figuring out LED sync, we have very early constellation tracking of PSVR2 sense controllers on Oculus Rift in Monado!
in the future this should also expand support to other IR-camera headsets
hare_ware retweeted
Starting January 16th Twitter will be able to use your work to train their AI.
The new ToS also allows them to license out your work to other AI development companies. Twitter will become a direct competitor in licensing your work to AI companies.
hare_ware retweeted
.@BigscreenVR x @VRChat Giveaway!
We’re giving away 1 Bigscreen Beyond 2e: VRChat Edition + 10 Years of VRC+! 🎉
To enter: RT this post.
No purchase necessary. Open to eligible participants.
Full rules: hello.vrchat.com/bigscreen-v…
Ends Sept 8 at 11:59pm PST.
ALT 1 VRChat Edition Bigscreen Beyond 2e pictured, with a "10 Years of VRC+" at the bottom
hare_ware retweeted
Our paper "The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking" has been accepted at #IROS2025!
Because SLAM/VIO datasets were getting a bit too easy :)
🔗 huggingface.co/datasets/coll…
📄 arxiv.org/abs/2508.00088
🎥 youtu.be/-lsHpsTI-Q0
(1/5)
hare_ware retweeted
PSA (many thanks to @TazLumiDesigns for the tip) that @Gumroad's now force implementing a 30-day refund guarantee - even in Digital Only products, or even if you don't include that in your TOS.
To fix this, go to your Settings, and scroll down till you see Refund Policy.
hare_ware retweeted
We got our Varifocal prototype working!
6DoF tracking, hand tracking, eye tracking, and variable focus all on a single headset!
hare_ware retweeted
We're regularly hosting real 15-student 40-minute classes in our MR classroom app. Tag tracking lets us easily connect and colocate Quests just by looking at a tag.
Quick, simple, and robust. This really should be a default API :(
hare_ware retweeted
the trick i’m using to get some decent looking balancing is to model the upper and lower spine separately. my thinking is that the lower spine is where all the balance happens (since it’s entirely manipulated by the abdomen muscles), and the upper spine we kind of use to try to keep a vibe of uprightness. the upper spine has slower critical damping, while the lower spine anticipates and overshoots.
