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Aquifer
An ingenue’s play in alcohol inks,
alcohol markers, India inks, pencil, glue,
(non)synthetic papers,
digital photography,
light compositing,
neural filters,
and digital image editing…
Shalin Hai-Jew
April 2022
2
Waking
3
Canoe’s Wake
4
Crevice
5
Stream Flow
6
Flutter
7
Late Morning
Aquifer
• “Aquifer” is the latest in the alcohol ink drip playing series, started in
January 2021 as a stress relief from the pressures of the pandemic.
• This work is offered for a kind of public workshopping.
• Some of the works in this “slideshow sketchbook” involve the use of
different seeding visuals to befuddle the AI (neural filters). Interestingly,
there is some visual bleed between sequential neural filters even without a
“commit” to the particular effect.
• The various digital image edits, neural filters, and other processes enable a near-
infinite abundance of choices and extreme experimentation.
• It is clear that artifice is in play, but it may be harder to guess how one arrived at the
particular visual state.
• It helps to store the learning into long-term memory for some other application in
the future.
8
Aquifer(cont.)
• There are different ways to create a visual that deserves a second
look. One approach is to use anti-physics, something that looks like it
goes against a naïve (untrained) physics. These include “Ripples” and
“Upstream Flow.”
• In the Landscape Mixer neural filter, there are various slider settings
for degrees (times) of day and night, for seasons, with nuanced
understandings of light that really can only be collected through
machine learning and artificial intelligence (at that level of precision).
• I just noticed that there is a “preserve subject” setting, which I applied to one
of the works. I also added the “harmonize subject,” so there is a meld
between my seeding image and the landscape mixer style.
• With so many options, getting to “commit” is hard.
9
Aquifer(cont.)
• The Landscape Mixer does strive for some illusion of the plausible physical
(of a natural world) whereas the other neural filters are more about style
and artifice. Each has its own strengths depending on the visual context
and the common artist’s intent.
• Still, there is something of an offset fractal in the landscapes, with some
repeating land features. The fake reminds one of landscapes, but one has
to explore one’s memories of the real to see what is faux (sometimes),
something like the spinning top in Inception, something like analyzing
researchers who offer their research and data. One is always checking for
off-true.
• In some of my work, I look for the seams that break the illusions. If you look at some
of the neural filtered visuals, I’ve left the seams in because they add visual interest
and break some illusions artfully.
10
Aquifer(cont.)
• In the deception research literature, based on what people want to
believe, they are easy to fool.
• So, too, with human vision and eyes. Even when one is aware of artifice
(think models, think Hollywood), one often goes with the illusion, the
glamorous artifice, than the real simply because the first is a preferred
artificial sense of the world.
• In some professions, people have to train out of their own self-
deceptions. (Go with the costly signaling, not the cheap talk.)
• Ironically, in others, people train into them so as to better fool others into
their cons, their faked senses of the world. And people often then fall into
their own traps because reality is hard. The fake is not costless.
11
Aquifer(cont.)
• I want to layer in interesting complexity without going overboard. Now, I’m
thinking I haven’t even gotten close to overboard yet, so I’m going to try harder.
• My freehand drawings are somewhat too tentative (due in part on the pencil and the thin
paper), and I am relying on the neural filters and digital image edits and digital painting to
bring the visual interest. Perhaps I should go full ink and try for less subtle. I am obviously
comfortable with all sorts of messy in expressing in inks and paints.
• Some of the born-digital visuals are from a trip to a local zoo. It was on a
weekend on a beautiful sunny day with lots of families out…to see the roboticized
dinosaurs.
• More and more, zoos are showing electronic representations of animals and less of the
physical real animals, it seems like.
• In some of my nature visuals, I am often clone-stamping out signs of people (which otherwise
appear in pretty much every image…except for when I’m on the Konza prairie).
12
Aquifer(cont.)
• I like references to the invisible, too. In “Two Koi,” one of the two is visible.
The other, based on the neural filter, is hidden. One can infer its actual
location if we watch the koi long enough and understand how they
interact. But it would still only be an inference.
• The visible koi is the alpha.
• The world is patterned but perhaps not that patterned. It is predictable but…
• The past might be prelude, or it might just be sunk costs.
• So much of digital image editing is about troubleshooting, working
problems. One can start with an image idea or just experiment, play. This
is fun, but it’s hard fun. One has to be comfortable with being stumped for
various lengths of time. Then in terms of efficiencies, one works out a
sequence without wasted moves.
13
Aquifer(cont.)
• There is always wide discrepancy between inputs to make the visuals
and the fast consumption by viewers (a common equation with
entertainment media). A work may take an hour to make, but it’s
consumed in seconds and generally forgotten.
• For the ROI, there is a need for large numbers of viewers to “make sense” in
the open source space.
• This slideshow does not include many of the seeding images on the
(non)synthetic papers. In many cases, only the digital results are
shared.
14
On white synth paper
15
16
Mixing
17
Split
On digital variants
18
19
Seam
20
At Base
21
Facets
22
Fruity Notes
23
Aspirational
24
Rivulets 2
25
Drifting Moon
26
Home
27
Surface Tension
28
Pink Tree
On born-digital variants
29
30
Frozen Pool
31
Tree and Sky
32
Flint
33
Shrubs
34
Native Grasses
35
Dry Brush and Shed
36
Wild
37
Possibilities
38
Intertwined
39
Rockery
40
Japanese Garden
41
Water Cycle
42
Over Water
43
Two Koi
44
Treated Paper
45
Upstream Flow
46
Serene
47
Gentle Time
48
Calm
49
Shallows
50
Night Pond
51
Warmth
52
Time’s Caress
53
Underwater Trees
54
Dozing Mallard
55
Reflecting Pool
56
Sway
57
Stop Motion
58
Stop Motion 2
59
Elements
60
Multiply Imperative
61
Bamboo Wall
62
Wooden Walkways
63
Pond
64
Ripples
65
Koi and Rock
66
First Blush (Spring)
67
Koi at Edge
68
Flowers

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Aquifer

  • 1. Aquifer An ingenue’s play in alcohol inks, alcohol markers, India inks, pencil, glue, (non)synthetic papers, digital photography, light compositing, neural filters, and digital image editing… Shalin Hai-Jew April 2022
  • 8. Aquifer • “Aquifer” is the latest in the alcohol ink drip playing series, started in January 2021 as a stress relief from the pressures of the pandemic. • This work is offered for a kind of public workshopping. • Some of the works in this “slideshow sketchbook” involve the use of different seeding visuals to befuddle the AI (neural filters). Interestingly, there is some visual bleed between sequential neural filters even without a “commit” to the particular effect. • The various digital image edits, neural filters, and other processes enable a near- infinite abundance of choices and extreme experimentation. • It is clear that artifice is in play, but it may be harder to guess how one arrived at the particular visual state. • It helps to store the learning into long-term memory for some other application in the future. 8
  • 9. Aquifer(cont.) • There are different ways to create a visual that deserves a second look. One approach is to use anti-physics, something that looks like it goes against a naïve (untrained) physics. These include “Ripples” and “Upstream Flow.” • In the Landscape Mixer neural filter, there are various slider settings for degrees (times) of day and night, for seasons, with nuanced understandings of light that really can only be collected through machine learning and artificial intelligence (at that level of precision). • I just noticed that there is a “preserve subject” setting, which I applied to one of the works. I also added the “harmonize subject,” so there is a meld between my seeding image and the landscape mixer style. • With so many options, getting to “commit” is hard. 9
  • 10. Aquifer(cont.) • The Landscape Mixer does strive for some illusion of the plausible physical (of a natural world) whereas the other neural filters are more about style and artifice. Each has its own strengths depending on the visual context and the common artist’s intent. • Still, there is something of an offset fractal in the landscapes, with some repeating land features. The fake reminds one of landscapes, but one has to explore one’s memories of the real to see what is faux (sometimes), something like the spinning top in Inception, something like analyzing researchers who offer their research and data. One is always checking for off-true. • In some of my work, I look for the seams that break the illusions. If you look at some of the neural filtered visuals, I’ve left the seams in because they add visual interest and break some illusions artfully. 10
  • 11. Aquifer(cont.) • In the deception research literature, based on what people want to believe, they are easy to fool. • So, too, with human vision and eyes. Even when one is aware of artifice (think models, think Hollywood), one often goes with the illusion, the glamorous artifice, than the real simply because the first is a preferred artificial sense of the world. • In some professions, people have to train out of their own self- deceptions. (Go with the costly signaling, not the cheap talk.) • Ironically, in others, people train into them so as to better fool others into their cons, their faked senses of the world. And people often then fall into their own traps because reality is hard. The fake is not costless. 11
  • 12. Aquifer(cont.) • I want to layer in interesting complexity without going overboard. Now, I’m thinking I haven’t even gotten close to overboard yet, so I’m going to try harder. • My freehand drawings are somewhat too tentative (due in part on the pencil and the thin paper), and I am relying on the neural filters and digital image edits and digital painting to bring the visual interest. Perhaps I should go full ink and try for less subtle. I am obviously comfortable with all sorts of messy in expressing in inks and paints. • Some of the born-digital visuals are from a trip to a local zoo. It was on a weekend on a beautiful sunny day with lots of families out…to see the roboticized dinosaurs. • More and more, zoos are showing electronic representations of animals and less of the physical real animals, it seems like. • In some of my nature visuals, I am often clone-stamping out signs of people (which otherwise appear in pretty much every image…except for when I’m on the Konza prairie). 12
  • 13. Aquifer(cont.) • I like references to the invisible, too. In “Two Koi,” one of the two is visible. The other, based on the neural filter, is hidden. One can infer its actual location if we watch the koi long enough and understand how they interact. But it would still only be an inference. • The visible koi is the alpha. • The world is patterned but perhaps not that patterned. It is predictable but… • The past might be prelude, or it might just be sunk costs. • So much of digital image editing is about troubleshooting, working problems. One can start with an image idea or just experiment, play. This is fun, but it’s hard fun. One has to be comfortable with being stumped for various lengths of time. Then in terms of efficiencies, one works out a sequence without wasted moves. 13
  • 14. Aquifer(cont.) • There is always wide discrepancy between inputs to make the visuals and the fast consumption by viewers (a common equation with entertainment media). A work may take an hour to make, but it’s consumed in seconds and generally forgotten. • For the ROI, there is a need for large numbers of viewers to “make sense” in the open source space. • This slideshow does not include many of the seeding images on the (non)synthetic papers. In many cases, only the digital results are shared. 14
  • 15. On white synth paper 15