Researchers Scale Up 128 Pixel Images To 1024 Pixels In 0.13 Seconds

MK
Mert Karakaya
Mar 29, 2024
IPVMU Certified

A new Carnegie Mellon University and Adobe Research paper claims to scale up 128-pixel images to 1024 pixels in 0.13 seconds.

*** *********** *** ******* *********** ******** (GANs) ** ***** ** ****** *** artworks, **** *** ***** ***** ** scaling ********* ** *.** ******* *** 4K ****** ** *.** *******. *** video ************ ***** ******* *************** ** GigaGAN, **** ***** ********* ** ** seconds:

*** ******** ***** ******* *********** *********** ******* *********** ** *** images:

**** ** ******* *******:

***** ***** *********** ******* *** ***** on ******** *** ********** **** ****** A100 **** (**** *** ~$**,*** ** ***), *** ******** ********* ***** ******* for ******** ****** ***** ***** *********** might ** ******. *** ***** *** are ******* ** ******* ****** ******, computational ********** ***** ** ***** ********* the ***** ********** ** ** ***** of **********.

*******, ***** ***** ************* ****, ***** algorithms **** * **** **** ****** being *********** ** ******** ******** ********. With ****** ************** *********** ** ****, ***** ********* **** ****** **** common *** ***** ********** *** *********.

** *** ***** ** **** *** AI ***** *********** ** ******** ******** in *** **** ***** *****? **** AI ********** ******* ******** *********** *** surveillance *******?

(1)
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UI
Undisclosed Integrator #1
Mar 29, 2024

*** *** ** ***** ***** **** been ***** **** *** **** *** years. **** ***** ** ******* ** CSI.

(1)
(5)
UE
Undisclosed End User #2
Mar 30, 2024

***** ********* ** ***** **** **** be ********** ** *****? * *** only ******* *** ******** **** ***** cause ** *** ******** **** **** was **** ** ******* * ****, and *** *** ************ ******** **** make ** ** ****** *** ****** subject ** *** ******** *****. (**** the ******** ** *** ***** *******, who ******* ** **** ** ***, and *** ****** ******* ** *** trunk ******* ********)

(1)
MK
Mert Karakaya
Mar 30, 2024
IPVMU Certified

* **** ****** * *** ********* algorithms *** ********* ***** ******, *** like *** ****, ***** ********** ** not ********** ******** *** ****** ********. However, ********* *** ** ********** *** more ****** *******, **** ********, ** determine *** **** *** *****, ** maybe ** **** ***** *** ***.

******** ***** ********** ********* **** ****** *** ***** ********** ********** (*** environmental *******) *** **** ******* ******* and **** ***** ********* ******* *** biometric ***********.

AK
Alex Knapik
Apr 01, 2024
Arcules (Cloud VSaaS part of the Canon Group)

***** ** ******** ** ** **** the ************* ******* **** **** *** utility ****** *** ************* *******. ***** an **********-*********** ***** ** ********** ** court? ******** ***. ***** **** ******** image **** ************* **** * **** that ***** ** **** ******* ***** evidence **************** ** *****? ***.

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(1)
U
Undisclosed #3
Mar 30, 2024

*.** ******* - *** **** *** speed **** ***** *** ******* ****** matter?

MK
Mert Karakaya
Mar 30, 2024
IPVMU Certified

*** **** ********** *********** *** **** (efficiency) ***** *** ******, *** **** metric ** ********* *** ****** ************. 0.13 ******* ** ************* * ****** per ******, *** ** ***** ********** are ****** ********* *** ***** **** hardware, **** **** ** ****** *** real **** ***** **********.

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(4)
U
Undisclosed #3
Mar 31, 2024

** ******* ******* ************ *********** **** any **** *** *********?

IPVM Image

MK
Mert Karakaya
Mar 31, 2024
IPVMU Certified

******, ***** ********** ***** *** ** digital ****. **** ***** **** ** digitally **** **** * ******* ** the *****, ***** ********** *** ******* that ******** ***, ********* **** ******. Given **** **** ************ ******* *** stationary **** ********** ***********, *** ******** frames ********, ***** ********** *** *********** details ***********, ** *********** ********.

** *** ***** ****, ** ** less ****** *** ***** ********** ** constantly ******* *** **** ***** ** have ****** **********.

U
Undisclosed #3
Mar 31, 2024

**** ***** *****.

****** ** ** *********** **** *** the ******** *** **** ***** ********** vs ***.

****, * ***** **** ** *** time **** **** *** ** **** kind ** ***** ****** ********-**********, **** ******* ********* ** ******* surveillance *********** (*** ***** *****) *** DSP ************ **** **** ****** ********* any ** *** ******** ** **** upscaling ********** *** ************ ************.

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