![]() On the Mac, we’ve streamlined the installer process to simply dragging the app icon to your Applications folder. An update to our AI Engine will benefit all DeNoise AI users by reducing memory usage and providing faster processing performance. We’ve made a lot of changes to the front-end and back-end of DeNoise AI, making it run faster and more reliably on both Mac and Windows computers. AI Engine performance and stability improvements Click here to see the full list of new cameras that we now support in DeNoise AI. We’ve also updated DeNoise AI to better handle Fuji files when checking if the RAW model is available. ![]() Owners of new model cameras such as the Sony a1, Canon EOS R5/R6, the FujiFilm GFX 50S II, GFX 100S, and X-E4 can now open their RAW files directly in DeNoise AI and get exceptional noise reduction. ![]() We’ve updated our RAW library to add support for a variety of new camera models from many major manufacturers. As you can see, the native M1 build provides a 59% faster load time when compared to the Rosetta emulation version. In our first benchmark test, I compared the time it took to load DeNoise AI v3.4 from a cold boot using both the native M1 and Rosetta versions. Everything from app load times, single image editing, and batch processing will be between 20-30% faster. By optimizing DeNoise AI for Apple’s integrated “System on a Chip” architecture, we are able to provide Apple M1, M1 Pro, and M1 Max users with even faster performance. We also squashed a lot of bugs.ĭownload DeNoise AI v3.4 Windows | MacOS Release Notes Native Apple M1 silicon supportĭeNoise AI is the first of our three Image Quality apps to gain native Apple M1 support, joining Video Enhance AI.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |