时间:2026-05-23 16:46:33 来源:网络整理编辑:娛樂
Apple's Deep Fusion photography feature, which uses machine learning to improve photos taken in less
Apple's Deep Fusion photography feature, which uses machine learning to improve photos taken in less-than-perfect lighting conditions, is now available to everyone with an iPhone 11 or an iPhone 11 Pro/Max.
To get the feature now, though, you must enrol into Apple's beta testing program and install the latest iOS public beta, iOS 13.2. Beta software can be buggy and can result in loss of data, so you might want to wait until the feature trickles down into the standard iOS 13.2 release, which is likely coming soon.
So what does Deep Fusion do? According to Apple, it uses "advanced machine learning to do pixel-by-pixel processing of photos, optimizing for texture, details and noise in every part of the photo." During its iPhone 11 launch event earlier this month, the company illustrated the system's capabilities with photos of people in sweaters (prompting some to call it Sweater Mode). The improvements shown in that example were subtle but definitely visible.
In practice, this should mean better low-light photos, but as The Verge has noted, it's a bit hard to figure out whether it's working or not, as there's no way to turn it on or off or any visual indication that it's been activated.
SEE ALSO:iPhone 11 review: More 'pro' than it looksThis is all a bit confusing, as the iPhone 11 and the iPhone 11 Pro/Max already have a Night mode feature which automatically turns on in low-light scenarios. Deep Fusion should work independently of Night mode and further improve the photo quality.
Note that Deep Fusion is not available on older iPhone models, as the feature needs the Neural Engine in Apple's latest A13 Bionic chip to work.
TopicsAppleiPhone
Major earthquake and multiple aftershocks rock central Italy2026-05-23 16:25
新工體鋼結構施工完成 “工體碗”基本亮相2026-05-23 16:20
傳足協考慮轉會窗延期兩周關閉 疫情影響俱樂部引援2026-05-23 15:57
上海海港亞冠報名名單 :增加26號陳純新 總球員數30人2026-05-23 14:51
This German startup wants to be your bank (without being a bank)2026-05-23 14:49
韓媒:歸化政策失敗 但裏皮認為中國足球的答案仍然是歸化2026-05-23 14:38
津門虎明日赴京與國安熱身 18歲小將桂子涵確定加盟2026-05-23 14:30
波切蒂諾下家 :回熱刺接孔蒂鍋 赴多特帶青年軍 ?2026-05-23 14:19
Two states took big steps this week to get rid of the tampon tax2026-05-23 14:16
媒體人談國安新賽季陣容 :最大變化在於梅米的使用2026-05-23 14:06
The five guys who climbed Australia's highest mountain, in swimwear2026-05-23 16:35
中國女足隊長王珊珊 :當明星挺累 還是踢球舒服2026-05-23 16:08
爭冠愈演愈烈 !國米取2022首個聯賽連勝 再追榜首2026-05-23 15:29
曝中超5月底6月初才能開賽 不排除在封閉基地內進行2026-05-23 15:27
Katy Perry talks 'Rise,' her next batch of songs, and how to survive Twitter2026-05-23 15:25
曝範佩西拒絕滕哈格邀約 不會前往曼聯教練組任職2026-05-23 15:09
巴西開千萬鎊年薪誘瓜帥 卸任曼城後征戰美加墨 ?2026-05-23 14:51
馬戲團表演太無聊?內維爾:你最近肯定沒看曼聯比賽2026-05-23 14:44
Singapore gets world's first driverless taxis2026-05-23 14:10
貝爾時隔773天再次在伯納烏出場 慘遭主場球迷噓2026-05-23 14:09