Lyra 2.0 produces persistent 3D-consistent video sequences for large explorable worlds by using per-frame geometry for information routing and self-augmented training to correct temporal drift.
Geogs3d: Single-view 3d reconstruction via geometric-aware diffusion model and gaussian splatting
4 Pith papers cite this work. Polarity classification is still indexing.
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F-RNG generates relightable 3D Gaussian splatting assets from sparse views via feed-forward distillation of IDM priors into an LRM without retraining the base models.
A survey that categorizes and summarizes methods applying 3D Gaussian Splatting to segmentation, editing, generation, and related tasks, including datasets and evaluation protocols.
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.
citing papers explorer
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Lyra 2.0: Explorable Generative 3D Worlds
Lyra 2.0 produces persistent 3D-consistent video sequences for large explorable worlds by using per-frame geometry for information routing and self-augmented training to correct temporal drift.
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F-RNG: Feed-Forward Relightable Neural Gaussians
F-RNG generates relightable 3D Gaussian splatting assets from sparse views via feed-forward distillation of IDM priors into an LRM without retraining the base models.
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A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation
A survey that categorizes and summarizes methods applying 3D Gaussian Splatting to segmentation, editing, generation, and related tasks, including datasets and evaluation protocols.
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A Survey on 3D Gaussian Splatting
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.