Excited to share our #ICCV2025 work Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets!
Our method generates sets of images using significantly less compute than standard diffusion.
📎https://t.co/MTYq2URf7T
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I’ve spent the last decade working to make AI as powerful for 3D as it is for text and images - from industry, through my PhD, to leading my own research lab as a professor.
I started Thrixel to put that research directly into people's hands: a 3D creation platform for the agentic era that lets anyone build complete, interactive 3D worlds using AI.
It’s especially exciting to build Thrixel alongside people I’ve researched with for years. Together, we’re bringing fundamental research breakthroughs straight into our core engine.
Here’s a peek behind the scenes at Thrixel ↓
This entire game was built using Claude + Thrixel, an agentic 3D creation platform.
Thrixel: Generated high-quality, thematically consistent, editable 3D assets.
Claude: Assembled in Unity + wrote game logic.
1 /goal prompt + Thrixel Skills + <5 follow-ups
Repo coming👇
📢 Thrilled to present our work Best Segmentation Buddies 🤝 at #CVPR2026 this week!
Best Segmentation Buddies is a zero-shot method that matches semantic parts between images in the wild and untextured 3D shapes, even across completely different domains! 🦉✈️
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Very excited to be presenting our highlight paper “Deep Feature Deformation Weights” at #CVPR2026!
TLDR: Image features make surprisingly good deformation weights. Our feature distillation is the best in the biz.
ExHall A&F 555
Poster Session 4
Website: https://t.co/Phh3WWV2QX
Going to be presenting our oral work WIR3D at @ICCVConference today! Please come check it out!
1:45 pm HST @ Exhibit Hall 3
We will also be #384 at poster session 4 afterwards if you want to chat.
This work was completed in collaboration with @thibaultgroueix, @toomanyyifans, @RanaHanocka, Vladimir G. Kim, and Matheus Gadelha. Check out our #ICCV2025 poster #153 today during Poster Session #4 from 2:45-4:45 HST!
Paper: https://t.co/uy5ilrKMsl
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Excited to share our #ICCV2025 work Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets!
Our method generates sets of images using significantly less compute than standard diffusion.
📎https://t.co/MTYq2URf7T
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While our method can be applied to general purpose image generation, our method achieves the most dramatic savings (saves >75% vs standard diffusion) when examples are structurally similar. Some applications of this are style variation, subject variation, and virtual try-on.
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Our work “Geometry in Style” will be presented at #CVPR2025 on Sunday at 4pm in ExHall D, poster 219. Drop by and say hi!
Our technique is capable of performing expressive text-driven deformations that preserve the input shape identity.
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3DL is recruiting PhD students to start in Fall 2025!
A thread👇highlighting some of our recent works, and what we are excited to explore next 🚀
Apply by Dec. 16; more info: https://t.co/WyvimLwjXe 1/
📢 Our work iSeg will be presented at #SIGGRAPHAsia2024 today at 340PM Hall B5 (1) - come say hi!
iSeg is a new interactive segmentation technique for 3D shapes, producing fine-grained customized segmentations based on user clicks 👆
Project page: https://t.co/ZQiYoYr77s
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Excited to share MeshUp ⬆️, a framework for deforming a mesh into a blend of various target concepts! MeshUp offers control over the influence of each concept by changing the associated weights. Project page: https://t.co/vYkXCjH63R
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Tomorrow tune in with @DecaturDale as he presents "Text-Driven Localization and Local Editing of 3D Shapes" with our community-led Computer Vision group! See you there! 👨💻
Learn more: https://t.co/ELhQxyKmI8