Mike Wong (@artixels) header
Mike Wong (@artixels) profile picture

pixel surgeon ART | ML | VFX

latentpark
Joined June 2009
坂本龍一 + 高谷史郎 Async immersion is being shown in Tokyo and when I saw it in M+ Hong Kong (sharing some images @ M+) I have an impression that this work has a challenging soundscape to reproduce and every venue would impose its limits, wondering what the Tokyo one is like.
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Replying to @ljsabc
Lovely to see how technology turn cool ideas into art. Believe it or not I did something similar back in the oooold days with the KCRC train .... and also got a similar work shown in some siggraph gallery.
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Have been refining a deeper UNet for a higher resolution training while maintaining a small footprint (50MB). Wanna turn this art-engineering work into an iOS app to share how the sky above Victoria Harbour looks like in Summer in this humid city.
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Replying to @zzznah
Alex, your latest MorphoHDL is stunning 🔥🔥 Long time ago, I was exploring how simple space filling rules applied at scale may be used for creating organic visuals (inspired by Andy Lomas aggregation work).
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[ Teapot Bounding Box ] Unable to grab the new one but I have recently found a near optimal Bounding Box for @pixarsrenderman Walking Teapot
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Captured a vid of sampling a tiny diffusion model with the neural engine (A17 Pro) on my phone. Not very fast but pretty acceptable given everything happened on the iPhone locally
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☁️ Tiny diffusion model on @Apple iPhone Neural Engine (ANE) Converted one of my Tiny checkpoints into a CoreML package, and this image was generated in 3.78 seconds with memory use under 140MB on my iPhone 15 Pro. Local, private and energy-efficient 🥂
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⛅𝐓𝐢𝐧𝐲 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬 I trained before are fairly compact, the left on was from a 𝟗.𝟓 𝐌𝐁 one and the right was from a 𝟐𝟐 𝐌𝐁 one. It is fun to witness how a model learns the statistics which enables generative sampling of that photographic experience.
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