Hello, There are odd artifacts (one looks like an image placeholder) appearing when dismissing an immersive space which is displaying an ImagePresentationComponent. Both artifacts look like widgets.. See below our simple code displaying the ImagePresentationComponent and the images of the odd artifacts that appear briefly when dismissing the immersive space. import OSLog import RealityKit import SwiftUI struct ImmersiveImageView: View { let logger = Logger(subsystem: AppConstant.SUBSYSTEM, category: "ImmersiveImageView") @Environment(AppModel.self) private var appModel var body: some View { RealityView { content in if let currentMedia = appModel.currentMedia, var imagePresentationComponent = currentMedia.imagePresentationComponent { let imagePresentationComponentEntity = Entity() switch currentMedia.type { case .iphoneSpatialMovie: logger.info("\(#function) \(#line) spatial3DImmersive display for \(String(describing: currentMedia))") imagePresentationComponent.desiredViewingMode = .spatial3DImmersive case .twoD: logger.info("\(#function) \(#line) spatial3DImmersive display for \(String(describing: currentMedia))") imagePresentationComponent.desiredViewingMode = .spatial3DImmersive case .visionProConvertedSpatialPhoto: logger.info("\(#function) \(#line) spatialStereoImmersive display for \(String(describing: currentMedia))") imagePresentationComponent.desiredViewingMode = .spatialStereoImmersive default : logger.error("\(#function) \(#line) Unsupported media type \(currentMedia.type)") assertionFailure("Unsupported media type \(currentMedia.type)") } imagePresentationComponentEntity.components.set(imagePresentationComponent) imagePresentationComponentEntity.position = AppConstant.Position.spacialImagePosition content.add(imagePresentationComponentEntity) } let toggleViewAttachmentComponent = ViewAttachmentComponent(rootView: ToggleImmersiveSpaceButton()) let toggleViewAttachmentComponentEntity = Entity(components: toggleViewAttachmentComponent) toggleViewAttachmentComponentEntity.position = SIMD3<Float>( AppConstant.Position.spacialImagePosition.x + 1, AppConstant.Position.spacialImagePosition.y, AppConstant.Position.spacialImagePosition.z ) toggleViewAttachmentComponentEntity.scale = AppConstant.Scale.attachments content.add(toggleViewAttachmentComponentEntity) } } }

I created a new Spatial Rendering App from the template in Xcode 26.0.1. When I run the app, click 'Show Immersive Space' and select my Vision Pro from the pop-up dialog, the content in the dialog flickers (which seems to indicate something crashed) and nothing appears on my Vision Pro. I'm running the released macOS 26.0 (25A354) and visionOS 26.0 (23M336). Filed as FB20397093.

Environment Xcode: 16.2 VisionOS SDK 2.4 Swift 6.1 Targets: Apple Vision Pro (immersive space) Frameworks: ARKit, RealityKit, SwiftUI What I’m Trying to Do I have a view-model class PlacementManager that holds two AR providers: private var worldTracking: WorldTrackingProvider private var planeDetection: PlaneDetectionProvider I want to dynamically replace these providers in a setEnvironment(_:) method (so I can save/clear a JSON scene and restart ARKit). What’s Happening If I declare them as : private let worldTracking = WorldTrackingProvider() private let planeDetection = PlaneDetectionProvider() I get compile-errors when I later do: self.worldTracking = newWorldTracking // Cannot assign to property: 'worldTracking' is a 'let' constant If I change them to un-initialized vars: private var worldTracking: WorldTrackingProvider private var planeDetection: PlaneDetectionProvider then in my init() I get: self used in property access 'worldTracking' before all stored properties are initialized Code snipet @Observable final class PlacementManager : ObservableObject { private var worldTracking: WorldTrackingProvider private var planeDetection: PlaneDetectionProvider // … other props … @MainActor init() { // error: self.worldTracking used before init… planeAnchorHandler = PlaneAnchorHandler(rootEntity: root) persistenceManager = PersistenceManager( worldTracking: worldTracking, rootEntity: root ) // … } @MainActor func setEnvironment(env: Environnement) async { let newWorldTracking = WorldTrackingProvider() let newPlaneDetection = PlaneDetectionProvider() try await appState!.arkitSession.run( [ newWorldTracking, newPlaneDetection ] ) self.worldTracking = newWorldTracking self.planeDetection = newPlaneDetection // … } } What I’ve Tried Giving them default values at declaration (= WorldTrackingProvider()) Initializing them at the top of init() before any use Passing the new providers into arkitSession.run(...) My Question What is the recommended Swift-style pattern to declare and reassign these ARKit provider properties so that: They’re fully initialized before use in init(), and I can swap them out later in setEnvironment(...) without compiler errors? Any pointers (or links to forum threads / docs) would be greatly appreciated!

Can I apply .scrollInputBehavior(.enabled, for: .look) to a WebView (wrapped UIViewRepresentable) in a visionOS 26 app? I tried it myself, but I couldn't do it, so I would like to know if there is any way to do this. Best regards.

传输后的直播流分辨率显著下降，画面细节丢失、清晰度不足，导致 3D 家具商品的纹理、尺寸等关键信息无法精准展示，影响用户对商品的判断。 期望 优化流传输过程中的分辨率压缩策略，减少传输过程中的画质损耗，提升 Mac 端接收的直播流清晰度，匹配 3D 商品展示的高精度需求。

Environment Versions ・macOS15.6.1 ・visionOS26.0.1 ・Xcode16.1 or 26.0.1 ・unity6000.2.9f1 ・Apple.core3.2.0 ・Apple.PHASE1.2.7 ・polyspatial2.4.2 With the above environment, after installing Apple.PHASE into unity and building to a visionOS device, Audio is available and distance attention works, but Early Reflection and Late Reverb produce no audible change even when checked and their parameters are adjusted. What is required to make Early Reflection and Late Reverb take effect on a visionOS device build? action taken ・created a SoundEvent. ・in composer, created a Sampler and a SpatialMixer; attached an AudioClip to the Sampler; enabled Direct Path, Early Reflection, and Late Reverb on the SpatialMixer. ・attached a PHASE Source to the object to be played, attached the created SoundEvent to it, and set non-zero values for Early Reflection and Late Reverb. ・attached a PHASE Listener to the mainCamera and set the ReverbPreset to a value other than None. ・in project settings > Audio, set Spatializer plugin to PHASE Spatializer. ・from there, build for visionOS.

I am considering adding finger pad haptics (Data flow for haptic feedback is directed from the AVP to the fingers, not vice versa). Simple piezos wired to a wrist connection holding the driver/battery. But I'm concerned it will impact the hand tracking. Any guidance regarding gloves and/or the size of any peripherals attached to fingers? Or, if anyone has another (inexpensive) low profile option on the market please LMK. Thanks

佩戴者头部自然晃动时，设备拍摄的画面会出现明显抖动，导致观看直播的用户产生眩晕感，严重影响直播沉浸体验和购物决策效率。 希望 优化设备内置防抖算法，降低头部常规晃动对画面稳定性的影响，提升直播画面的流畅度。

I want to let users place 2D/3D “artworks” on detected walls and have them reappear in exactly the same real‑world spot after quitting and relaunching the app (like widgets do, but for my own entities).Environment: Xcode 26, visionOS 2.0, RealityKit + ARKitSession/WorldTrackingProvider Entities are parented to a holder that’s aligned to a wall via plane/mesh raycasts What I’ve tried: Create a WorldAnchor at placement, save UUID + full 4×4 transform On next launch, re-create the WorldAnchor (or set the saved transform) and attach the entity Gate restore on relocalization/mesh updates and disable all raycast/search after restore Issue: After relaunch, placement still resolves relative to current device pose, not the same wall position. Questions: Is there a public API in visionOS 2.0 to persist app‑managed world anchors across sessions (room‑fixed), e.g., AnchorStore or equivalent? If not, what’s the recommended pattern to reliably restore wall‑anchored content? Are persistence features mentioned for widgets/windows available to third‑party RealityKit entities?

画面亮度存在无规律动态波动（时亮时暗），且无手动控制入口，导致商品颜色还原失真、主播面部曝光异常（过曝 / 欠曝），严重影响直播展示效果。 期望 "· 优化直播模式的自动曝光算法，提升复杂光线环境下的亮度稳定性； · 增加 “直播模式” 专属亮度锁定功能，支持手动设定亮度参数并锁定，满足直播场景下的画质可控需求。 "

Hello Community, I’m currently working with the sample code “CapturingDepthUsingTheLiDARCamera” and using it to capture the depth map of an image taken with the iPhone 14 Pro. From this depth map, I generate a point cloud using the intrinsic camera parameters. I've noticed that objects not facing the camera directly appear distorted in the resulting point cloud. For example: An object with surfaces that are perpendicular to each other appears with a sharper angle in the point cloud — around 60° instead of 90°. My question is: Is this due to the general accuracy limitations of the LiDAR sensor? Or could it be related to the sample code? To obtain the depth map, I’m using: AVCapturePhoto.depthData.converting(toDepthDataType: kCVPixelFormatType_DepthFloat32) Thanks in advance for your help!

Hi, I'm currently implementing 180° / 360° property for immersive video in my app. I was able to implement 360° easily by just giving VideoMaterial to flipped sphere. However, I'm bit stuck at 180°. I want to implement by setting VideoMaterial to hemisphere mesh. But since RealityKit doesn't provide default function such like MeshResource.generateHemisphere yet, I just want to apply VideoMaterial half front visible, and half back transparent. I thought this would make my sphere looks like hemisphere. But I can't find my way to implement this method.. I would appreciate any advice / idea / information that might help.

Hi. I am mixing content destined for Vision Pro. Locked to video. I have the AAX installer and the ASAF video player demonstrated in the quicktimes is nit included in the install package for pro tools. Would it be possible to post a link ?

直播过程中需同时操作 Vision Pro（拍摄）、Mac（推流）、中控台（画面切换），无统一控制入口，调节 3D 模型、校准画质等操作需在多设备间切换，易出错且效率低。 期望 针对直播场景，提供桌面端专属控制软件，支持一站式管理 Vision Pro 的拍摄参数、3D 模型切换、虚实融合效果等，实现多设备协同操作的可视化、便捷化。

Hi Apple Developer Community, I'm developing an eye-tracking application using ARKit's ARFaceTrackingConfiguration and ARFaceAnchor.blendShapes for gaze detection using Xcode. I'm experiencing several calibration and accuracy issues and would appreciate insights from the community. Current Implementation Using ARFaceAnchor.blendShapes (.eyeLookUpLeft, .eyeLookDownLeft, .eyeLookInLeft, .eyeLookOutLeft, etc.) Implementing custom sensitivity curves and smoothing algorithms Applying baseline correction and coordinate mapping Using quadratic regression for calibration point mapping Issues I'm Facing 1. Calibration Mismatch Red dot position doesn't align with where I'm actually looking Significant offset between intended gaze point and actual cursor position Calibration seems to drift or become inaccurate over time 2. Extreme Eye Movement Requirements Need to make exaggerated eye movements to reach screen edges/corners Natural eye movements don't translate to proportional cursor movement Difficulty reaching certain screen regions even with calibration 3. Sensitivity and Stability Issues Cursor jitters or jumps around when looking at center Too much sensitivity to micro-movements Inconsistent behavior between calibration and normal operation 4. I also noticed that tracking on calibration screen as well as tracking on reading screen works better as expected when head movement is there, but I do not want much head movement. I want tracking with normal eye movement while reading an Ebook. Primary Question: Word-Level Eye Tracking Feasibility Is word-level eye tracking (tracking gaze as users read through individual words in an ebook) technically feasible with current iPhone/iPad hardware? I understand that Apple's built-in eye tracking is primarily an accessibility feature for UI navigation. However, I'm wondering if the TrueDepth camera and ARKit's eye tracking capabilities are sufficient for: Tracking natural reading patterns (left-to-right, line-by-line progression) Detecting which specific words a user is looking at Maintaining accuracy for sustained reading sessions (15-30 minutes) Working reliably across different users and lighting conditions Questions for the Community Hardware Limitations: Are iPhone/iPad TrueDepth cameras capable of the precision needed for word-level tracking, or is this beyond current hardware capabilities? Calibration Best Practices: What calibration strategies have worked best for accurate gaze mapping? How many calibration points are typically needed? Reading-Specific Challenges: Are there particular challenges when tracking reading behavior vs. general gaze tracking? Alternative Approaches: Are there better approaches than ARKit blend shapes for this use case? Current Setup Devices: iPhone 14 Pro iOS Version: iOS 18.3 ARKit Version: Latest available Any insights, experiences, or technical guidance would be greatly appreciated. I'm particularly interested in hearing from developers who have worked on similar eye tracking applications or have experience with the limitations and capabilities of ARKit's eye tracking features. Thank you for your time and expertise!

I am running a Spatial Rendering App template demo， it shows “No People Found ” “There is no one nearby to share with”. How can I stream videos rendered by Mac to my vision pro I am using macOS 26.0, visionOS 26, Xcode 26

After updating to visionOS 26.2 Beta 2 (and Beta 3), I'm unable to establish a spatial connection to Vision Pro. This was working fine before the update. To test, I've created a fresh spatialApp project from the Xcode template with zero modifications, but I'm hitting the same issue - the Vision Pro is discovered but won't connect. Am I forgetting to update the config somewhere? Any ideas what might be causing this and how to fix it? Thanks! Warning: -[NSWindow makeKeyWindow] called on <NSWindow: 0xa1f811900> windowNumber=1b9 which returned NO from -[NSWindow canBecomeKeyWindow]. ((processConfiguration != nil && configuration != nil) || (processConfiguration == nil && configuration == nil)) - /AppleInternal/Library/BuildRoots/4~CBS0ugAIF7BrQZjLe6r0lhPXO4GJmNDTovxYoV0/Library/Caches/com.apple.xbs/Sources/ExtensionKit/ExtensionKit/Source/HostViewController/Internal/EXHostSessionDriver.m:80: `processConfiguration` and `configuration` must be both non-nil or both nil Unable to obtain a task name port right for pid 415: (os/kern) failure (0x5) CCContextDeviceGroup.mm(291):+[CCContextDeviceGroup checkBinaryArchivesForDevice:withBundle:]: Failed to find any binary shader archive

According to the official documentation, the .blur(radius:) modifier could apply gaussian blur to a realityview. However, when applied directly to a RealityView, nothing inside it (neither 2D attachments nor 3D entities) appears to be blurred. Here’s the test code: struct ContentView: View { var body: some View { VStack(spacing: 20) { Text("Above the RealityView") .font(.title) RealityView { content, attachments in if let text = attachments.entity(for: "2dView") { text.position.y = 0.1 content.add(text) } let box = ModelEntity( mesh: .generateBox(size: 0.1), materials: [SimpleMaterial(color: .red, isMetallic: true)] ) content.add(box) } attachments: { Attachment(id: "2dView") { Text("Above the Box") .font(.title) } } .frame(width: 300, height: 300) .border(.blue) .blur(radius: 99) // Has no visual effect Text("Below the RealityView") .font(.subheadline) } .padding() } } My question: How can I make .blur(radius:) visually affect the content rendered in a RealityView? Can you provide a working example that .blur() to visually affect any part of a RealityView? Thanks!

Hello, I am trying to build an AVP app for real-time "zero-latency" spatial video streaming. I am trying to figure out, on a high level, the best way to do this. Currently this is my method: Server sends stereo images via a WebRTC service (ie, livekit) The WebRTC stream is converted to a CVPixelBuffer, writes them to file, plays via AVPlayer, and applies a VideoMaterial to a plane entity. However, this is a bit hacky and it seems like this won't be compatible with Apple's spatial experinces. To my understanding, Apple supports HLS streaming for spatial experiences and APMP content. However, HLS (and even Low Latency HLS) introduces a second or more of latency, likely do to the segmentation nature of HLS. Thus, HLS will not work for us. Some other alternatives I've thought of are streaming the live stream video via webrtc from the server to a local computer in the AVP's network, and then using LL-HLS to stream from the local computer to the vision pro. Still, it seems like this would introduce latency on the order of seconds. Is my current approach the best way to implement this? Or could anyone suggest a better way, perhaps something compatible with AVP's spatial experiences

I noticed in the latest macOS beta 3 that there was this update: A new algorithm significantly improves PhotogrammetrySession reconstruction quality of low-texture objects not captured with the ObjectCaptureSession front end. It will be downloaded and cached once in the background when the PhotogrammetrySession is used at runtime. If network isn’t available at that time, the old low quality model will be used until the new one can be downloaded. There is no code change needed to get this improved model. (145220451) I am not noticing any difference to before with the reconstructions I tested so I am assuming it's reverting to the old model but in the logs there is no way to see if it succeeds or fails to download that new model. do you have any more information on what was improved here with some examples and what we should be looking for? also how can confirm the download of that new model has not failed?