2D Representation for Unguided Single-View 3D Super-Resolution in Real-Time

• URL: http://arxiv.org/abs/2511.08224v1
• Date: Wed, 12 Nov 2025 01:47:31 GMT
• Title: 2D Representation for Unguided Single-View 3D Super-Resolution in Real-Time
• Authors: Ignasi Mas, Ivan Huerta, Ramon Morros, Javier Ruiz-Hidalgo,
• Abstract summary: 2Dto3D-SR is a versatile framework for real-time single-view 3D super-resolution.<n>We utilize the Projected Normalized Coordinate Code (PNCC) to represent 3D geometry from a visible surface as a regular image.
• Score: 2.0299248281970956
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce 2Dto3D-SR, a versatile framework for real-time single-view 3D super-resolution that eliminates the need for high-resolution RGB guidance. Our framework encodes 3D data from a single viewpoint into a structured 2D representation, enabling the direct application of existing 2D image super-resolution architectures. We utilize the Projected Normalized Coordinate Code (PNCC) to represent 3D geometry from a visible surface as a regular image, thereby circumventing the complexities of 3D point-based or RGB-guided methods. This design supports lightweight and fast models adaptable to various deployment environments. We evaluate 2Dto3D-SR with two implementations: one using Swin Transformers for high accuracy, and another using Vision Mamba for high efficiency. Experiments show the Swin Transformer model achieves state-of-the-art accuracy on standard benchmarks, while the Vision Mamba model delivers competitive results at real-time speeds. This establishes our geometry-guided pipeline as a surprisingly simple yet viable and practical solution for real-world scenarios, especially where high-resolution RGB data is inaccessible.

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