Creating photorealistic images with neural networks and a Gameboy Camera
11–20 of 36 posts
Re: Creating photorealistic images with neural networks and a Gameboy Camera
#12How fast does it take to run? could it be done in real time for compression? Also, wonder how low of resolution you could go?
https://research.googleblog.com/2016/09/image-compression-wi...
Here's the paper:
https://arxiv.org/abs/1608.05148
(No connection to the authors, just found it super cool when I read it a few months back.)
Re: Creating photorealistic images with neural networks and a Gameboy Camera
#13How fast does it take to run? could it be done in real time for compression? Also, wonder how low of resolution you could go?
Re: Creating photorealistic images with neural networks and a Gameboy Camera
#14Another reason why static website generators are great.
Anyone got a mirror?
Re: Creating photorealistic images with neural networks and a Gameboy Camera
#15> Error establishing a database connection Another reason why static website generators are great. Anyone got a mirror?
Re: Creating photorealistic images with neural networks and a Gameboy Camera
#16Re: Creating photorealistic images with neural networks and a Gameboy Camera
#17> Error establishing a database connection Another reason why static website generators are great. Anyone got a mirror?
Re: Creating photorealistic images with neural networks and a Gameboy Camera
#18There is another option! You can get a backup device called the "Mega Memory Card" and an EMS64M Game Boy flash cart. Back up the GB Camera's SRAM with the Mega Memory Card and restore to the EMS64M. Then you can use the flash cart's transfer the save to PC and dump with software.
I regularly use this method together with a little utility I wrote[1] to get GB Cam images onto my website. The Game Boy Camera is a cool little gadget!
Re: Creating photorealistic images with neural networks and a Gameboy Camera
#19Re: Creating photorealistic images with neural networks and a Gameboy Camera
#20The general approach being described is called "dithering". It usually involves more than adding random noise to the image. One common algorithm is called Floyd-Steinberg (https://en.wikipedia.org/wiki/Floyd%E2%80%93Steinberg_dither...), and it involves tracking cumulative error between neighboring pixels and adjusting color when enough error accumulates.