An independent researcher shares a detailed behind-the-scenes account of writing and publishing a SIGGRAPH paper on GPU-accelerated rendering of implicit surfaces, entirely as a side project. The paper introduces a method using interval arithmetic and recursive subdivision adapted for GPU parallelism, converting implicit surface functions into tapes evaluated on the GPU. The writeup covers the full timeline from implementation to submission, including how the author overcame an initial 3/5 rejection recommendation through a well-crafted rebuttal, benchmarking on AWS for $20, gathering beta readers, generating publication-quality figures with Matplotlib and LaTeX, and navigating the conditional acceptance and revision process. Valuable for independent researchers considering submitting to top-tier academic venues without institutional support.
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