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📢 GenRecon Code Release 📢 Few images in → complete, high-fidelity 3D scene out! GenRecon builds a generative prior on full scenes, resulting in unprecedented 3D reconstruction quality. 🔗 🌐 📄

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Matthias Niessner

49,595 subscribers

40,263 просмотров • 2 месяцев назад •via X (Twitter)

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Комментарии: 11

Фото профиля Matthias Niessner
Matthias Niessner2 месяцев назад

Core idea is to leverage Trellis2 as a generative prior, which we: a) expand to entire 3D scenes b) make it pixel aligned to match input images c) generalize to multiple input views for large scenes Great work by @katha_schmid, @nicolasvluetzow, Jozef Hladký, and @angelaqdai.

Фото профиля willie
willie2 месяцев назад

MIT license too, you guys are legends.

Фото профиля 熊二
熊二2 месяцев назад

It would be really interesting to use it for creating game scenes

Фото профиля Adham
Adham2 месяцев назад

Amazing!! lifting posed image features into a Trellis2 prior and generalizing it to full scenes is what actually inherits object-level fidelity at scene scale

Фото профиля Matthieu Pizenberg
Matthieu Pizenberg2 месяцев назад

Oh wow

Фото профиля LUCKYJOHN777
LUCKYJOHN7772 месяцев назад

nice

Фото профиля Crypbnb
Crypbnb2 месяцев назад

Great work

Фото профиля victor
victor2 месяцев назад

pretty interesting!

Фото профиля Roseglyph
Roseglyph2 месяцев назад

Great work and excellent idea. I wonder what the average polygon count is for the generated models, as Trellis typically produces a high number of triangles. Also, could you share the system VRAM requirements?

Фото профиля 🎶
🎶2 месяцев назад

Cool 3d environment processor

Фото профиля Benedikt Seidel
Benedikt Seidel2 месяцев назад

@angelaqdai Amazing! Is it a metric reconstruction?

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