Hi Apple Team and Developers, First of all, I’d like to express my appreciation for the incredible results achieved using PhotogrammetrySession. I’ve been developing a portrait scanning app using Object Capture, and in many tests—especially with human models—I’ve found the reconstructed body surfaces are remarkably smooth and clean, often outperforming tools like Metashape and RealityCapture in terms of aesthetic results. However, I’ve encountered some challenges when working with complex areas like long hair overlapping the face. For instance, with female models where strands of hair partially occlude the face, the resulting mesh tends to merge the hair and facial geometry. This leads to distorted or “melted” facial features, likely due to ambiguity in the geometry estimation phase. Feature Suggestion: Would it be possible to allow developers to supply two versions of the input images: • One version (original) for texture generation • A pre-processed version (e.g., contrast-enhanced or CLAHE filtered) to guide mesh reconstruction only This would give us the flexibility to enhance edge features or shadow detail without affecting the final texture appearance. In other photogrammetry pipelines, applying image enhancement selectively before dense reconstruction improves geometry quality in low-contrast areas. Question: Is there any plan to support this kind of two-path workflow in future versions of PhotogrammetrySession? Or perhaps expose more intermediate stages or tunable parameters to developers? Also, any hints on what we can expect from WWDC 2025 regarding improvements to Object Capture or related vision/3D technologies? Thanks again for this powerful API. Looking forward to hearing insights from the team and other developers. Warm regards, KitCheng

In Reality Composer Pro, why is the Sky Sphere so much larger than the Sky Dome? By my estimate, the Sky Sphere has a radius of 100m, while the Sky only has a radius of only 12m.

I am working on an app that will allow a user to load and share their model files (usdz, usda, usdc). I'm looking at security options to prevent bad actors. Are there security or validation methods built into ARKit/RealityKit/CloudKit when loading models or saving them on the cloud? I want to ensure no one can inject any sort of exploit through these file types.

Use case proposal: immersive mental visualisation and manifestation experiences on visionOS I'd like to open a discussion around a use case I believe is currently missing from the visionOS ecosystem

Hi Apple Developer Forums, I'm developing a visionOS video streaming app that uses a custom immersive cinema experience with RealityKit. I have a question about enabling video reflections in an immersive environment. My Current Implementation I'm using VideoMaterial with AVPlayer to display video on a ModelEntity plane in an immersive space: // Create screen mesh let screenMesh = MeshResource.generatePlane( width: VideoTheater.screenWidth, height: VideoTheater.screenHeight, cornerRadius: 0.0 ) let screenEntity = ModelEntity(mesh: screenMesh) // Apply VideoMaterial with AVPlayer screenEntity.model?.materials = [VideoMaterial(avPlayer: player)] The video renders correctly in the immersive space, but I don't see any video reflections on surrounding surfaces. Apple's Documentation Approach According to the documentation at https://aninterestingwebsite.com/documentation/visionos/enabling-vid eo-reflections-in-an-immersive-environment, the recommended approach uses: AVPlayerViewController for video playback dockingRegion modifier to specify where the video should appear The system automatically handles reflections My Question Is using AVPlayerViewController with dockingRegion the only way to get video reflections in an immersive environment? Or is it possible to enable reflections when using VideoMaterial directly with RealityKit's ModelEntity? My app requires a custom immersive cinema experience with: Custom screen positioning and scaling Danmaku (bullet comments) overlay Custom gesture controls HDR/Dolby Vision support Switching to AVPlayerViewController would require significant architectural changes, so I'd prefer to keep my current VideoMaterial approach if reflections can be enabled somehow. If VideoMaterial cannot produce reflections, are there any alternative approaches to achieve diffuse video reflections with a custom RealityKit setup? Environment visionOS 2.x RealityKit AVPlayer with custom resource loader (for DASH streams) Thank you for any guidance!

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!

I’m trying to build a persistent world map of my college campus using ARKit, but it’s not very reliable. Anchors don’t consistently appear in the same place across sessions. I’ve tried using image anchors, but they didn’t improve accuracy much. How can I create a stable world map for a larger area and reliably relocalize anchors? Are there better approaches or recommended resources for this?

Spatial photo in RealityView has a default corner radius. I made a parallel effect with spatial photos in ScrollView(like Spatial Gallery), but the corner radius disappeared on left and right spatial photos. I've tried .clipShape and .mask modifiers, but they did't work. How to clip or mask spatial photo with corner radius effect?

Problem Description: I am developing an application that runs in the Shared Space on Apple Vision Pro using Unity. When using the UI ScrollView (Scroll View) component, I found that the Mask / RectMask2D does not function in the Shared Space. Scrolling content is not masked or cropped; it extends beyond the view boundary and is displayed directly. The same UI works correctly across platforms such as Unity Editor, iOS, and macOS, but the issue only occurs in the shared space of Vision Pro. Reproduction steps: Create a ScrollView in Unity. Add a Mask or RectMask2D to the viewport. Deploy the application to Apple Vision Pro and run it in Shared Space mode. Sliding content will not be clipped by the mask, and the masked area is entirely ineffective. Expected behavior: The content of ScrollView should be properly clipped by Mask / RectMask2D and should not render outside the mask boundary. Actual results: In the shared space of Vision Pro, the mask is ineffective, causing scrolling content to extend beyond the designated area and resulting in severe UI distortion. Environmental Information: Device: Apple Vision Pro Mode: Shared Space Unity Version: 6000.0.40f1 visionOS version: visionOS 26.0 Unity PolySpatial Version: 2.0.4 Impact This issue causes Unity UI to fail to display correctly on Vision Pro, preventing ScrollView from properly clipping content, which impacts the UI experience and interaction effects in practical applications. Expected Result: When running a Unity app in the shared space of visionOS, the Mask / RectMask2D of ScrollView functions correctly

In a simple test, I'm observing ~30% higher CPU usage with the ARWorldTrackingConfiguration compared to the ARBodyTrackingConfiguration when both configurations have AREnvironmentTexturing enabled. In Instruments, I observe Recon3D consuming ~5.5 seconds of CPU time with the ARWorldTrackingConfiguration vs <0.3 second with the ARBodyTrackingConfiguration in two separate 30 seconds samples. This is on an iPhone 12 Pro equipped with lidar. Is there a reason why two separate configurations, both having the same features enabled would have a different CPU overhead?

Hi, after upgrading to 2.4.1 (from 1.0) my vision stucks on "Retrieving configuration" screen. Apple Store didn't support my case since it has been sold in USA and the product isn't still present in italian market. I don't have dev strap, how can I manage the issue? Thank you

When scanning multiple rooms (10+) in a single structure using ARWorldMap for coordinate space consistency, RoomCaptureSession throws CaptureError.exceedSceneSizeLimit. The instructions here (https://aninterestingwebsite.com/documentation/roomplan/scanning-the-rooms-of-a-single-structure) provide exactly what I am doing to keep the underlying ARSession alive (by calling captureSession.stop(pause: false)) and save the results before a user moves to the next room. Scanning 11 or so rooms will cause the user to hit the exceedSceneSizeLimit error. The ARWorldMap is about 58 MB and always is around this size when hitting this issue. No anchors are present and all the data seems to be from tracking data. On iPad devices (where I do not see this issue) the ARWorldMap grows as a significantly slower rate in size. I save the ARWorldMap after each room is scanned and confirmed by the user. If I use the ARMap to initialize the ARSession (as described in the docs) the session will immediately error with "exceedSceneSizeLimit" once the captureSession.run() is executed. Occasionally it will allow me/the user to scan again, but either breaks mid scan or the following. This has been working fine for the past 2 years and users have been able to scan dozens of rooms without issue. It seems only lately that it has been a problem. I would expect the ARWorldMap to be allowed for much bigger sizes. At this point I can just about scan more area of my house with a single scan than I can when I use different captureSessions. Few observations: This happens on my iPhone 15 Pro Max, my iPhone 17 Pro, but not my iPad M4 (maybe memory related?). It is possible if scanning many more rooms it would happen on the iPad too. I have tried things such as resetting the ARConfig on the underlying ARSession to reset some, but this doesn't work. I have tried to create a new ARWorldMap and move the origin to the older map to clear out tracking data. This almost works but causes a mess of issues when a user moves at all due to the unshared coordinate space. I believe there are three active issues regarding this: FB14454922, FB15035788, FB20642944 Could we get an update for this issue? It is a production issue and severely limits my user experience in my production application.

I have an arguably massive project and am not sure if the issue is with the assets or my approach in the code. the error says : Tool terminated due to error "SIGNAL 6:Abort trap:6" Basically I have around 15-20 assets (usda files built out of usdz files). In the code i am loading a scene with all the usda files and then have the functions to enable and disable a particular asset when needed. This was working as intended when i am using dummy assets(with less polygons, lesser textures) But when i placed the actual assets the error appears and persists. Do I have a bad approach of loading all the scenes at once? Previously i have used an approach which loads the scenes when needed and that involved some lag before rendering the assets. But my current approach(when using dummies) works like a dime rendering and hiding the assets in realtime with no lag. Kindly suggest any workarounds.

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

When I run my app from Xcode on a device running iOS 26, the roomplan capture is corrupted and the recording is green and purple. This issue does not occur when I use an older version of iOS or when I run the app via testFlight or the App Store.

Basically, take just the Xcode 26 AR App template, where we put the ContentView as the detail end of a NavigationStack. Opening app, the app uses < 20MB of memory. Tapping on Open AR the memory usage goes up to ~700MB for the AR Scene. Tapping back, the memory stays up at ~700MB. Checking with Debug memory graph I can still see all the RealityKit classes in the memory, like ARView, ARRenderView, ARSessionManager. Here's the sample app to illustrate the issue. PS: To keep memory pressure on the system low, there should be a way of freeing all the memory the AR uses for apps that only occasionally show AR scenes.

I'm placing sphere at finger tip and updating its position as hand move. Finger joint tracking functions correctly, but I’ve observed noticeable latency in hand tracking updates whenever a UITextView becomes active. This lag happens intermittently during app usage, lasting about 5–10 seconds, after which the latency disappears and the sphere starts following the finger joints immediately. When I open the immersive space for the first time, the profiler shows a large performance spike upto 328%. After that, it stabilizes and runs smoothly. Note: I don’t observe any lag when CPU usage spikes to 300% (upon immersive view load) yet the lag still occurs even when CPU usage remains below 100%. I’m using the following code for hand tracking: private func processHandTrackingUpdates() async { for await update in handTracking.anchorUpdates { let handAnchor = update.anchor if handAnchor.isTracked { switch handAnchor.chirality { case .left: leftHandAnchor = handAnchor updateHandJoints(for: handAnchor, with: leftHandJointEntities) case .right: rightHandAnchor = handAnchor updateHandJoints(for: handAnchor, with: rightHandJointEntities) } } else { switch handAnchor.chirality { case .left: leftHandAnchor = nil hideAllJoints(in: leftHandJointEntities) case .right: rightHandAnchor = nil hideAllJoints(in: rightHandJointEntities) } } await MainActor.run { handTrackingData.processNewHandAnchors( leftHand: self.leftHandAnchor, rightHand: self.rightHandAnchor ) } } } And here’s the function I’m using to update the joint positions: private func updateHandJoints( for handAnchor: HandAnchor, with jointEntities: [HandSkeleton.JointName: Entity] ) { guard handAnchor.isTracked else { hideAllJoints(in: jointEntities) return } // Check if the little finger tip and intermediate base are both tracked. if let tipJoint = handAnchor.handSkeleton?.joint(.littleFingerTip), let intermediateBaseJoint = handAnchor.handSkeleton?.joint(.littleFingerIntermediateTip), tipJoint.isTracked, intermediateBaseJoint.isTracked, let pinkySphere = jointEntities[.littleFingerTip] { // Convert joint transforms to world space. let tipTransform = handAnchor.originFromAnchorTransform * tipJoint.anchorFromJointTransform let intermediateBaseTransform = handAnchor.originFromAnchorTransform * intermediateBaseJoint.anchorFromJointTransform // Extract positions from the transforms. let tipPosition = SIMD3<Float>(tipTransform.columns.3.x, tipTransform.columns.3.y, tipTransform.columns.3.z) let intermediateBasePosition = SIMD3<Float>(intermediateBaseTransform.columns.3.x, intermediateBaseTransform.columns.3.y, intermediateBaseTransform.columns.3.z) // Calculate the midpoint. let midpointPosition = (tipPosition + intermediateBasePosition) / 2.0 // Position the sphere at the midpoint and make it visible. pinkySphere.isEnabled = true pinkySphere.transform.translation = midpointPosition } else { // If either joint is not tracked, hide the sphere. jointEntities[.littleFingerTip]?.isEnabled = false } // Update the positions of all other hand joint spheres. for (jointName, entity) in jointEntities { if jointName == .littleFingerTip { // Already handled the pinky above. continue } guard let joint = handAnchor.handSkeleton?.joint(jointName), joint.isTracked else { entity.isEnabled = false continue } entity.isEnabled = true let jointTransform = handAnchor.originFromAnchorTransform * joint.anchorFromJointTransform entity.transform.translation = SIMD3<Float>(jointTransform.columns.3.x, jointTransform.columns.3.y, jointTransform.columns.3.z) } } I’ve attached both a profiler trace and a video recording from Vision Pro that clearly demonstrate the issue. Profiler: https://drive.google.com/file/d/1fDWyGj_fgxud2ngkGH_IVmuH_kO-z0XZ Vision Pro Recordings: https://drive.google.com/file/d/17qo3U9ivwYBsbaSm26fjaOokkJApbkz- https://drive.google.com/file/d/1LxTxgudMvWDhOqKVuhc3QaHfY_1x8iA0 Has anyone else experienced this behavior? My thought is that there might be some background calculations happening at the OS level causing this latency. Any guidance would be greatly appreciated. Thanks!

I noticed that when I drag the menu window in an Immersive View, the entities behind it becomes semi-transparent, and the boundary between virtual and real-world objects is very pronounced. May I ask how does VisionOS implement this effect? Is there any API or technique I can use in my own code to enable the same semi-transparent overlay - even when I am not dragging the menu window?

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.

Hi team, I believe I’ve found a registration issue between ARFrame.sceneDepth and ARFrame.capturedImage when using high-resolution frame capture on a 2022 iPad Pro (6th gen). When enabling high-resolution capture: if let highResFormat = ARWorldTrackingConfiguration.recommendedVideoFormatForHighResolutionFrameCapturing { config.videoFormat = highResFormat } … arView.session.captureHighResolutionFrame { ... } the depth map provided by ARFrame.sceneDepth no longer aligns correctly with the corresponding high-resolution capturedImage. This misalignment results in consistently over-estimated distance measurements in my app (which relies on mapping depth to 2D pixel coordinates). iPad Pro (6th gen): misalignment occurs only when capturing high-resolution frames. iPhone 16 Pro: depth is correctly registered for both standard and high-resolution captures. It appears the camera intrinsics, specifically the FOV, change between the “regular” resolution stream and the high-resolution capture on the iPad. My suspicion is that the depth data continues using the intrinsics of the lower resolution stream, resulting in an unregistered depth-to-RGB mapping. Once I have the iPad in hand again, I will confirm whether camera.intrinsics or FOV differ between the low-res and high-res frames. Is this a known issue with high-resolution frame capture on the 2022 iPad Pro? If not, I’m happy to provide some more thorough sample code. Thanks for your time!