Implicit neural representation of textures

Albert Kwok, Peter Hu, Dounia Hammou

Implicit neural representation of textures: 0 upvotes on Hugging Face Daily Papers, #63 of 73 papers on 2026-02-03. Day-by-day upvote history.

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.

Paper page on Hugging Face · arXiv

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