字節大模型Depth Anything V2 被蘋果官方收入Core ML模型庫
字節跳動團隊自主研發的深度估計模型Depth Anything V2，獲得蘋果公司的高度認可並收入其Core ML模型庫。該模型爲單目深度估計工具，能從單一圖片中計算場景深度，成果廣泛應用於視頻特效、自動駕駛、3D建模與增強現實等多個領域。通過從初代25M參數到二代1.3B參數的跨越式升級，深度估計精度和應用範圍進一步擴大，GitHub上累計獲得超過8.7k的星標認證，表明其技術實力和市場潛力。作爲一位實習生主導的核心項目，Depth Anything V2在低估資源情況下展示了高水平的技術能力與創新成果，體現了優秀培養文化和紮實研發路徑在字節跳動內部的實踐。通過整合進蘋果的機器學習框架Core ML，模型能夠實現高效性能與穩定應用，即便是離線狀態下，也能夠處理複雜的AI任務。Depth Anything V2爲字節跳動在視覺生成和大模型領域的發展再次樹立了里程碑，展示了團隊在解決深層視覺問題時的前瞻性和優勢。未來，模型的應用範圍將持續擴大，不僅在已有領域深化發展的可能，還可能構建橋樑以支持視頻平臺或剪輯軟件的功能擴展，支持特效製作與視頻編輯等功能。深度估計作爲計算機視覺的核心能力，其技術革新的成果——Depth Anything V2，預示了字節跳動在技術研發與人才培養方面持續投入與承諾的成果顯效。
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
