NVIDIA 於 GTC 2026 發表的 DLSS 5 技術已確定於台灣時間 9 月 4 日隨著新作《NBA 2K27》正式上線，同時釋出更多技術解析，再次強調不改變遊戲的原始美術風格。
有別於傳統生成模型通常以機率性、非即時的方式運作，DLSS 5 的 3D 導向神經渲染技術採用像素空間擴散 Transformer 模型，能夠達成確定性與 4K 即時處理的運行表現。
DLSS 5 的模型著重語意保存與特徵訓練，訓練時會針對多種維度學習，以求精確保留原始畫面的意圖。它主要抓取面部、輪廓與服裝等角色特徵，同時考量物件、材質與彼此之間關係描述的場景語意，再結合光照方向、強度與氛圍的光照語意，並考量視角、取景與透視方面的鏡頭構圖。
它運作時會利用輸入幀顏色、移動向量、表面反照率、照明語意、表面法線等多種即時渲染資訊進行畫面校正與強化，確保最終生成的畫面貼合 3D 空間架構。
DLSS 5 開發工具將提供豐富的自訂選項，讓遊戲開發者／創作者擁有極高的自由度來微調最終畫面，這些選項包含：
- 結構強度：控制高頻細節，如環境光遮蔽、接觸陰影、反射與次表面散射。
- 色調強度：控制低頻細節，如大範圍的光照與色彩反應。
- 遮罩功能：支援手動或語意驅動的自動遮罩，來指定特定物件（如角色皮膚或背景植物）進行效果修正，確保畫面完全符合美術指導的要求。
以即將上市的《NBA 2K27》為例，原生畫面中球員皮膚的油亮感較為生硬，開啟 DLSS 5 補足了次表面散射，讓汗水與皮膚的融合度更像真實照片，透光感更自然。
球員手臂、腋下以及脖子等部位，DLSS 5 補上了環境光遮蔽與接觸陰影，讓肌肉的立體輪廓更為結實，消除 3D 模型的生硬塑膠感。同時球衣與肩膀、身體貼合處的微小陰影與布料纖維質感更加清晰。
除了球員，觀眾席與攝影記者等 NPC 的臉部、身體構造與衣物的立體感也得到進一步強化，減少遠處背景 NPC 的假人感。
NVIDIA 還提到，DLSS 5 的畫面表現效果將取決於原始輸入畫面的品質。若遊戲原生只提供傳統光柵化渲染，DLSS 5 補強的效果有限；而在能啟用光線追蹤的遊戲中，DLSS 5 將能輸出更貼近真實的畫面質感。
效能方面，NVIDIA 目前尚未釋出開關 DLSS 5 對性能造成的影響幅度，只提到發表之初仍需要兩張 RTX 5090 進行運算，但現在所有 RTX 50 系列顯卡都能單卡運作，而且性能表現相較當時已經成長至 5 倍以上。
由於 DLSS 使用算法較複雜的像素空間擴散 Transformer 模型，更仰賴 GPU 的 Tensor Core 算力，推測在入門級 GPU 如 GeForce RTX 5060 可能會壓縮到部分原生渲染算力，同時開啟先前 DLSS 4.5 導入的 6 倍補幀對最終每秒幀率會舒適許多。
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