Looking for a nice home for your paper? #3DV2027 is waiting! 🎉
⏰ Conference dates: April 6-9, 2027
✈️ Place: #Thessaloniki (#SKG), #Greece 🇬🇷
📝 Paper ddl: Aug 28
🎥 Supp ddl: Sep 02
🆕 Rebuttal only upon invite for borderline papers!
#CallForPapers: https://t.co/6Fy3QG7PRE
Most research time isn’t spent thinking of ideas.
It’s spent checking prior work, testing hypotheses, debugging silent bugs, organizing results, making slides.
The parts where weeks of work silently disappear.
I tried encoding some of that experience as “Agent Skills”.
me: "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM"
claude opus 4.6:
Intelligent systems need to understand #3D Objects from single images. However, recent SotA methods work well for unoccluded views & common poses, and prioritize shape over pose. We tackle this by developing #SDFit #ICCV2025 a novel Render-n-Compare framework for 3D objects that:
👉 Is robust to occlusion & uncommon poses
👉 Treats both Shape & Pose as 1st class citizens
(1/6🧵)
To conclude:
👉#SDFit exploits an explicit, morphable 3D shape prior (mSDF) to generate 3D hypotheses, and a feedback loop to fit the mSDF hypothesis to an img
👉#SDFit is a good step toward robust 3D perception, and provides insights toward methods that better 'understand' rather than 'hallucinate'
(5/6🧵)