: While many aimed for 4K, some creators noted "diminishing returns" and opted for a "1080p+" approach—upscaling to 4K first for detail and then compressing back to 1080p to balance file size and visual quality. Major 2020 Community Projects
Enter the fans. Specifically, the for Star Trek: Deep Space Nine Season 1 . Using neural networks, machine learning, and the bleeding edge of consumer-grade AI upscaling (Topaz Video Enhance AI, ESRGAN, and custom models), a dedicated community achieved what a studio wouldn’t: a native 4K version that, in many ways, is better than a traditional remaster. star+trek+deep+space+9+s01+ai+upscale+4k+2020+better
Season 1 (broadcast in 1993) suffers from several unique visual hurdles: : While many aimed for 4K, some creators
This official indifference paved the way for a new solution: . In the late 2010s, the first wave of commercial AI-powered video upscaling software began to emerge, most notably Topaz Video Enhance AI (VEAI) . This software was revolutionary. Instead of using simple "dumb" scaling algorithms, AI upscalers use neural networks—machine learning models trained on thousands of images—to "intelligently" infer and add missing detail to a low-resolution video. It could sharpen faces, reconstruct textures, and reduce noise in ways previously impossible without manual human intervention. The introduction of these tools sparked a new movement in the fandom. Using neural networks, machine learning, and the bleeding
Purists initially worried that AI would introduce "hallucinations"—weird visual glitches where the computer guesses wrong. However, the tailored 2020 settings proved that with proper human oversight, the results look remarkably natural.
While DS9 is famous for its "gritty" and dark aesthetic, the original DVD transfers often looked "muddy" rather than "atmospheric."
This is the story of the "Star Trek: Deep Space Nine S01 AI Upscale 4K (2020)" project—the "better" version fans have been waiting for.