Trellis
github.comKey Features
Tech Stack
Key Features
Tech Stack
Modi: https://chat.vlm.run/c/bdbaf1dc-b3c2-4b8a-ad17-6e26d87475fd
Musk: https://chat.vlm.run/c/894f44ce-c366-4c93-b348-de6eebfb9f03
Ronaldo: https://chat.vlm.run/c/db5eff27-8c52-4e0b-8e4e-157df6bef278
Gomez: https://chat.vlm.run/c/02b92f23-a6fd-4380-b7a9-52ae7463c9c1
Jackie chan: https://chat.vlm.run/c/62ca5502-2066-4d5f-b994-c8845b2e72c9
Messi: https://chat.vlm.run/c/5bfda3c2-a2bf-4ca2-a874-78f1ce66edf1
Taylor swift: https://chat.vlm.run/c/d411c16a-e2b1-490c-85cc-9f86f2564a59
Obama: https://chat.vlm.run/c/c55fe1d6-853b-4113-bdaf-d828bee0da53
Trump: https://chat.vlm.run/c/84b57509-ed38-454a-9b17-85c03a247993
Kohli: https://chat.vlm.run/c/da8ffe8a-0818-4820-bdeb-b82d965ae3a4
Lamar: https://chat.vlm.run/c/ef6488c3-b0f0-4651-944e-7d0c4f98bdd1
Mrbeast: https://chat.vlm.run/c/c24d1cac-feb0-4a53-b1a2-2bbb62a7b7fb
Will take some time to publish. The TRELLIS 1 dataset is public here: https://github.com/microsoft/TRELLIS/blob/main/DATASET.md
Excites for the follow ups for this new generation.
The results from arbitrary pictures are not nearly as good as what's shown in the posting. So either the demo is running a gimped version of the model or the examples are _very_ handpicked.
"System: The code is currently tested only on Linux."
:)
I want to highlight what I believe is the coolest innovation: their novel O-Voxel data structure. I'm still trying to wrap my head around how they figured out the conversion from voxel-space to mesh-space. Those two worlds don't work well together.
A 2D analogy is that they figured out an efficient, bidirectional, one-shot method of converting PNG's into SVG's, without iteration. Crazy.
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