3DGaussian Flats: Hybrid 2D/3DPhotometric Scene Reconstruction
–Neural Information Processing Systems
Recent advances in radiance fields and novel view synthesis enable creation of realistic digital twins from photographs. However, current methods struggle with flat, texture-less surfaces, creating uneven and semi-transparent reconstructions, due to an ill-conditioned photometric reconstruction objective. Surface reconstruction methods solve this issue but sacrifice visual quality. We propose a novel hybrid 2D/3D representation that jointly optimizes constrained planar (2D) Gaussians for modeling flat surfaces and freeform (3D) Gaussians for the rest of the scene.
Neural Information Processing Systems
Jun-23-2026, 00:04:47 GMT
- Country:
- North America > Canada (0.28)
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (0.68)
- Research Report
- Technology:
- Information Technology > Artificial Intelligence
- Vision (1.00)
- Natural Language (1.00)
- Machine Learning (1.00)
- Information Technology > Artificial Intelligence