reconstructing different angles from live footage
Summary
4D Gaussian Splatting is a technique that converts flat 2D images into three-dimensional spatial data, enabling reconstruction of different angles from live footage.
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VidSplat is a training-free generative reconstruction framework that uses video diffusion priors to recover complete 3D scenes from sparse inputs by synthesizing novel views.
Multi4D: High-Fidelity Dynamic Gaussian Splatting via Multi-Level Competitive Allocation
Multi4D introduces a multi-level competitive allocation framework for dynamic 3D Gaussian splatting that balances motion consistency and visual fidelity, achieving state-of-the-art rendering quality and real-time performance.
GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens
GlobalSplat introduces an efficient feed-forward framework for 3D Gaussian splatting that achieves compact and consistent scene reconstruction using global scene tokens, reducing computational overhead and inference time to under 78ms. The method uses a coarse-to-fine training approach to prevent representation bloat while maintaining competitive novel-view synthesis performance with significantly fewer Gaussians (16K) compared to dense baselines.
FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation
FLAT proposes a method to decode explicit triangle splats directly from video diffusion latents for geometrically accurate 3D scene generation. It introduces a ray-centered rotation parameterization and a product window function to improve gradient flow, achieving better geometric accuracy than prior feedforward methods while supporting real-time rendering.
Came across Streamable Gaussian Splatting. You'll never guess the use case though. (Open with Caution)
A new approach called Streamable Gaussian Splatting enables real-time streaming of 3D scenes, with a potentially surprising application hinted at with caution.