Implicit neural representation of textures

• URL: http://arxiv.org/abs/2602.02354v1
• Date: Mon, 02 Feb 2026 17:17:20 GMT
• Title: Implicit neural representation of textures
• Authors: Albert Kwok, Zheyuan Hu, Dounia Hammou,
• Abstract summary: Implicit neural representation (INR) has proven to be accurate and efficient in various domains.<n>In this work, we explore how different neural networks can be designed as a new texture INR.
• Score: 2.6287243537123994
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Implicit neural representation (INR) has proven to be accurate and efficient in various domains. In this work, we explore how different neural networks can be designed as a new texture INR, which operates in a continuous manner rather than a discrete one over the input UV coordinate space. Through thorough experiments, we demonstrate that these INRs perform well in terms of image quality, with considerable memory usage and rendering inference time. We analyze the balance between these objectives. In addition, we investigate various related applications in real-time rendering and down-stream tasks, e.g. mipmap fitting and INR-space generation.

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