Changelog – Nero AI Image Upscaler

This is the changelog for version ID starting with xx.5.x.x  

If you are running an app from the Microsoft Store whose version ID starts with 2.0.x.x, please see the changelog here. 

25.5.12.0

2023-01-13

New

setup default ai model

  • Now you can set up the default AI model in the Options.
  • Support new format .webp

25.5.11.0

2022-10-28

Improvements

  • Localizations for German

 

 

25.5.10.0

2022-10-14

New

  • Hints with gif when cursor hovers on the model.

tooltip for models

  • Show the progress status in the thumbnail list for the image under processing.

progress status

  • Support compression settings when saving results as the jpeg.

jpeg compressions

  • Keep original EXIF data in the resulting image.

Improvements

  • Better sample image with result presenting.
  • The process will not be interrupted when the PC sleep.
  • Other improvements for stability and reliability.

 

24.5.67.0

2022-07-04

New

  • Some example images to start with.new start with example
  • You can input images from Google Drive

open from google drive

  • AI model selection is now available. Try different models for different photos till you get a happy result.

ai models

  • You define how big the result goes. 2x, 4x or by targeted width and height values.

more scale ratio

  • More comparison views:

1on1 view

  • Compare traditional and AI results with the slide bar.

traditionalvsai

  • Batch processing is possible and up to 20 images in a row.

batch process

Improvements

  • Giant improvements in processing speed with NVIDIA GPU acceleration.
  • Save files with customized file names.

 

 

24.5.30.11

2021-12-07

Improvements

  • New icon design
  • Some improvements for photographs with faces.

 

24.5.30.7

2021-10-21

Improvements

  • Improved ads and Nero Market button.

 

24.5.30.6

2021-10-11

Features

The initial release of Nero AI Image Upscaler – use artificial intelligence to increase image resolution with enhanced sharpness and detail.

  • Upscale rate: 4x.
  • Remove noise and jpeg compression artifacts.
  • Support JPEG, and PNG.

 

Nero KnowHow 00251

How close is your PC to the Metaverse?

What is the Metaverse?

The metaverse is a shared virtual 3D world, or worlds, that are interactive, immersive, and collaborative. Just as the physical universe is a collection of worlds that are connected in space, the metaverse can be thought of as a bunch of worlds, too. People call metaverse the next iteration of the internet—one that we relate to not just by photos and videos and text, but by touch and interaction between elements rendered in Virtual or Augmented Reality that emulate real-world situations. If social media has been an important communication tool, then the “metaverse” could be the next frontier of connectivity and interaction.

11

 

Nero Score Metaverse Benchmark

Outstanding 3D real-time rendering capabilities will bring you a more immersive digital experience and bring us one step closer to the metaverse.

Nero Score now adds a new test unit for measuring the performance of 3D real-time rendering on graphics cards.

22

33

The GPU metaverse benchmark measures how many frames per second a 3D asset can be rendered on a given GPU. The results of this test will allow you to compare the scores of different GPUs in this domain. You can also compare the different performances that may exist between the AVC solution and the Metaverse solution on the same graphics card.

 

Nero KnowHow 00249

Use Nero Score to compare the performance of your integrated and dedicated graphic cards!

If your system has two graphics cards, do you know how much better your independent graphic card will be than your dedicated graphic card when decoding or encoding AVC video files?

two graphic cards

Previously, when Nero Score ran the AVC GPU test, it automatically picked the major graphic card from current system. Now you can choose which graphic card you want to do the AVC Decoding & Encoding test for before you start the test.

Get Nero Score latest version from Nero Start or score.nero.com.

Nero KnowHow 00247

Nero Score adds new AVC Decoding and Encoding Test

Following the AI Tagging test, Nero Score is once again focusing its benchmarking tool on real-world AVC decoding and encoding tests. This is a test unit for measuring the performance of system codecs running AVC software and hardware decoding & encoding separately.

Compared with previous video compression standards, AVC achieves effective compression while minimizing distortion caused by the compression process. Today, AVC has become a relatively main codec for users in video playback, transcoding, and compression.

Most benchmarking of codecs on the market is often done using a tool that comes with the codec, which does not truly reflect the performance, for example, your movie playback using the system’s Movies & TV application, and it is hard to relate these benchmark results under specific conditions with real-world performance.

Nero Score’s ‘AVC Decoding and Encoding Test’ is a unit that measures codec performance using only the system’s own codecs, which is a more realistic reflection of your system’s performance without running third-party applications.

Nero Score AVC decoding and encoding test decodes and encodes a dedicated Ultra HD 4K video clip with the system’s own codecs to measure the processing power of your system’s CPU and GPU for AVC.

AVC CPU

CPU/GPU AVC benchmarks and measures how many video frames per second can be processed with your system’s codec on the given CPU/GPU. The outcome of this test will let you compare how different CPUs/GPUs score in this domain. And you also can compare the CPU behaviors in AVC solution and AI inference solution.

Result

The test produces a benchmark score for AVC decoding and transcoding as a measure of performance. As with the AI Tagging test, higher scores mean better performance. Here are some scores for reference:

AVC CPUs (software decoding & encoding)

  • AMD Ryzen Threadripper PRO 3995WX 64-Cores: 2343
  • AMD Ryzen Threadripper 3970X 32-Core Processor: 2033
  • 12th Gen Intel Core i9-12900K: 1977

AVC GPUs (hardware decoding & encoding)

  • NVIDIA GeForce RTX 3080 Ti: 4045
  • NVIDIA GeForce RTX 3070: 3937
  • Radeon Pro Vega 56: 3155
  • Intel Iris Xe MAX Graphics: 2322

Start testing AVC decoding and encoding performance today! Get Nero Score latest version from Nero Start or score.nero.com.

Nero KnowHow 00246