2108.08477.pdf
arxiv.org · 5,154 words · saved by 1 readers
N/A
Image2Lego: Customized LEGO® Set Generation from Images Kyle Lennon, Katharina Fransen, Alexander O’Brien, Yumeng Cao, Matthew Beveridge, Yamin Arefeen, Nikhil Singh, Iddo Drori Massachusetts Institute of Technology {krlennon,kfransen,adobrien,ymcao,mattbev,yarefeen,nsingh1,idrori}@mit.edu arXiv:2108.08477v1 [cs.CV] 19 Aug 2021…
related reading
- AI 3D Model Generator: Create 3D from Text & Images | Meshymeshy.ai
- Generative modelling in latent space – Sander Dielemansander.ai
- Replicate - Run AI with an APIreplicate.com
- cannoneyed.com/projects/isometric-nyccannoneyed.com
- Native and Compact Structured Latents for 3D Generationmicrosoft.github.io
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixelsle-wm.github.io
- World Models | Rohit Bandarurohitbandaru.github.io
- How Can We Make Robotics More like Generative Modeling? | Eric Jangevjang.com
- [2409.17126] Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Resetarxiv.org
- One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusionarxiv.org
- Marble: A Multimodal World Model | World Labsworldlabs.ai
- LEAP 71 | PicoGK.org Blogpicogk.org