Diverseshot

High Fidelity 3D Reconstruction Designed and optimized for production. Easily create photorealistic 3D scenes and objects with any camera in minutes. Faster than traditional NeRF, with richer details and more realistic rendering. Download for free Shoot with any camera Radiance Field technology creates 3D scenes even from regular RGB images without requiring specialized scanning devices. Reconstruct from photos taken with phones, cameras, or drones. Fast and easy workflow Getting started with divshot only takes a few clicks and a set of images. divshot automatically learns the 3D scene from your images. Full Content Ownership Your content remains on your devices and under your full control. divshot runs all processing and machine learning steps on devices only you have access to. Scenes from Photos 📸 Multi-view Reconstruction Automatically reconstruct 3D scenes from videos or multi-view photos, supporting any camera and shooting angle 🎨 High Fidelity Rendering High-quality rendering based on Gaussian point clouds, preserving real-world materials and details ⚡ Live Training Preview View training progress and rendering results in real-time with interactive scene browsing 💾 Model Sequence Rendering Export to PLY, GLTF, OBJ and other common formats, compatible with mainstream 3D software and engines 🔧 Memory Optimization Intelligent memory management and LOD hierarchical rendering for large-scale scene reconstruction 🎬 Unreal Engine Plugin Seamless integration with UE for real-time virtual production and mixed reality compositing 3DGS Technology What is 3D Gaussian Splatting? 3DGS (3D Gaussian Splatting) is a revolutionary 3D scene representation method that uses anisotropic Gaussian points to model scenes. Compared to traditional NeRF and MVS methods, 3DGS offers the following advantages: ⚡ Faster Rendering Real-time rendering capability, hundreds of times faster than NeRF 🎯 Richer Details Preserves high-frequency details and realistic materials for higher reconstruction quality 💡 More Realistic Visuals Supports anisotropic reflections and complex lighting effects 🔧 Efficient Storage Optimized data structures supporting large-scale scenes Technical Features LOD (Level of Detail) support with dynamic detail adjustment based on viewpoint Intelligent memory management optimizing GPU resource usage Compression algorithms reducing model file size Support for high-resolution input (4K, 8K) and output Reconstruction Gallery Explore stunning 3D reconstructions created with divshot, from indoor scenes to outdoor architecture and detailed objects. Indoor Outdoor Objects View Full Gallery Flexible and Scalable Unlimited image count, unlimited model size Supports images of any size, incl. 4K, 8K Immediate local processing Image masking for occluder and background removal Import Poses/Points from 3rd party tools Supports inputs in JPG, PNG, TIF, EXR, DNG, RAW, MOV, MP4, MKV Color space handling, supports ACES Integrates with geo-referenced data Graphical and command-line interfaces Export models to 3rd Party viewers Ready to Get Started? Download divshot for free and start creating high-fidelity 3D reconstructions in minutes. Go to Downloads Requires Windows 10+ and NVIDIA RTX GPU. View system requirements → --- High Fidelity 3D Reconstruction Designed and optimized for production. Easily create photorealistic 3D scenes and objects with any camera in minutes. Faster than traditional NeRF, with richer details and more realistic rendering. Download for free Shoot with any camera Radiance Field technology creates 3D scenes even from regular RGB images without requiring specialized scanning devices. Reconstruct from photos taken with phones, cameras, or drones. Fast and easy workflow Getting started with divshot only takes a few clicks and a set of images. divshot automatically learns the 3D scene from your images. Full Content Ownership Your content remains on your devices and under your full control. divshot runs all processing and machine learning steps on devices only you have access to. Scenes from Photos 📸 Multi-view Reconstruction Automatically reconstruct 3D scenes from videos or multi-view photos, supporting any camera and shooting angle 🎨 High Fidelity Rendering High-quality rendering based on Gaussian point clouds, preserving real-world materials and details ⚡ Live Training Preview View training progress and rendering results in real-time with interactive scene browsing 💾 Model Sequence Rendering Export to PLY, GLTF, OBJ and other common formats, compatible with mainstream 3D software and engines 🔧 Memory Optimization Intelligent memory management and LOD hierarchical rendering for large-scale scene reconstruction 🎬 Unreal Engine Plugin Seamless integration with UE for real-time virtual production and mixed reality compositing 3DGS Technology What is 3D Gaussian Splatting? 3DGS (3D Gaussian Splatting) is a revolutionary 3D scene representation method that uses anisotropic Gaussian points to model scenes. Compared to traditional NeRF and MVS methods, 3DGS offers the following advantages: ⚡ Faster Rendering Real-time rendering capability, hundreds of times faster than NeRF 🎯 Richer Details Preserves high-frequency details and realistic materials for higher reconstruction quality 💡 More Realistic Visuals Supports anisotropic reflections and complex lighting effects 🔧 Efficient Storage Optimized data structures supporting large-scale scenes Technical Features LOD (Level of Detail) support with dynamic detail adjustment based on viewpoint Intelligent memory management optimizing GPU resource usage Compression algorithms reducing model file size Support for high-resolution input (4K, 8K) and output Reconstruction Gallery Explore stunning 3D reconstructions created with divshot, from indoor scenes to outdoor architecture and detailed objects. Indoor Outdoor Objects View Full Gallery Flexible and Scalable Unlimited image count, unlimited model size Supports images of any size, incl. 4K, 8K Immediate local processing Image masking for occluder and background removal Import Poses/Points from 3rd party tools Supports inputs in JPG, PNG, TIF, EXR, DNG, RAW, MOV, MP4, MKV Color space handling, supports ACES Integrates with geo-referenced data Graphical and command-line interfaces Export models to 3rd Party viewers Ready to Get Started? Download divshot for free and start creating high-fidelity 3D reconstructions in minutes. Go to Downloads Requires Windows 10+ and NVIDIA RTX GPU. View system requirements → --- Reconstruction Gallery Explore stunning 3D reconstructions created with divshot Featured Reconstructions Featured Scene Historic Building Interior A detailed reconstruction of a 19th-century cathedral interior, capturing intricate architectural details, stained glass windows, and ornate decorations. Images: 2,400 Resolution: 8K Gaussians: 12M Indoor Scenes Indoor 1 Modern Living Room Photorealistic reconstruction of a contemporary living space with complex lighting and reflective surfaces. 580 images 4K Indoor 2 Museum Exhibition Hall Large-scale indoor reconstruction preserving fine details of artworks and display cases. 1,200 images 8K Indoor 3 Restaurant Interior Warm ambient lighting and diverse material reconstruction including wood, glass, and fabric. 420 images 4K Outdoor Architecture Outdoor 1 Gothic Cathedral Exterior reconstruction capturing intricate stone carvings and architectural details. 1,800 images 8K Outdoor 2 Modern Office Building Glass and steel structure with accurate reflections and environmental lighting. 960 images 4K Outdoor 3 Historic Town Square Drone-captured aerial and ground-level fusion of a European town center. 2,100 images 8K Objects & Products Object 1 Vintage Camera Detailed product scan with accurate metal textures and lens reflections. 120 images 4K Object 2 Ceramic Sculpture Art piece reconstruction preserving subtle color variations and surface textures. 85 images 4K Object 3 Mechanical Watch High-precision scan of intricate watch mechanism with sub-millimeter details. 200 images 8K Natural Environments Nature 1 Japanese Garden Lush vegetation reconstruction with accurate foliage and water reflections. 850 images 4K Nature 2 Rocky Coastline Drone and ground capture of dramatic cliff formations and ocean views. 1,500 images 8K Nature 3 Ancient Tree Detailed reconstruction of a 500-year-old oak tree with complex branch structure. 680 images 4K Ready to Create Your Own? Download divshot and start creating stunning 3D reconstructions today. Download for Free --- Documentation Learn how to use divshot for 3D scene reconstruction Installation Follow these steps to install divshot on your Windows system. Step 1: Download Download the latest version from our download page. Choose either the .exe installer. Step 2: Run Installer Double-click the downloaded .exe file and follow the installation wizard. The default installation path is C:\Program Files\divshot. divshot Installation Wizard Step 3: GPU Driver Ensure you have the latest GPU drivers installed. divshot supports both cuda and vulkan backend which means you can run it on AMD GPUs or Intel GPUs that support vulkan. Note: divshot requires an NVIDIA GPU with Compute Capability 6.0 or higher (GTX 1060 or newer) if you use cuda backend. Quick Start Guide Get your first 3D reconstruction in minutes with this quick start guide. 1 Launch divshot Open divshot from the Start menu or desktop shortcut. divshot Main Interface Example divshot Start Screen Example 2 Import Images Click "New Splats" File Menu Item or Drag and drop your images or video into the import area, or use File → Import. Example: Importing images into a new splat (project) in divshot. 3 Start Reconstruction Click "Start Training" to begin the 3D Gaussian Splatting reconstruction process. Camera pose estimation using Structure from Motion (SfM) 3D Gaussian Splatting training in progress 4 Preview & Export Navigate the live preview and export your model when satisfied. System Requirements Minimum Requirements Operating System Windows 10 64-bit GPU NVIDIA GTX 1060 or AMD RX 580 or Intel UHD Graphics 630 or higher VRAM 6 GB RAM 16 GB Storage 10 GB free space (SSD recommended) Recommended Requirements Operating System Windows 11 64-bit GPU NVIDIA RTX 4000 series or higher VRAM 24 GB or more RAM 32 GB or more Storage NVMe SSD with 100+ GB free space User Interface divshot features an intuitive interface designed for efficient 3D reconstruction workflows. Understanding the UI layout will help you navigate and use the application effectively. divshot main interface layout Interface Overview The divshot interface consists of several key areas: Menu Bar: Access to file operations, edit functions, and application settings Toolbar: Quick access buttons for common functions 3D Viewport: Central area displaying the 3D scene preview Scene Hierarchy Panel: Right-side panel showing scene structure and objects Inspector Panel: Right-side panel for viewing and editing selected object properties Status Bar: Bottom bar displaying training progress and system information Toolbar The toolbar provides quick access to frequently used functions. Here are the main toolbar buttons: Main toolbar with function buttons Button Function New Scene New scene project Open Open an existing project file Save Save the current project Undo Undo last action Redo Redo last action Focus object Set camera to focus on the selected object Splat Edit Enable splat editing mode and show splat editing tools Start/Pause/Resume Training Begin/Pause/Resume the 3D Gaussian Splatting training process Reset Training Reset the current training session and prepare for new training Status Bar The status bar at the bottom of the window provides real-time information about the current training session and system status. Status bar showing training information and system status The status bar displays the following information: Training Progress: Current iteration number and total iterations (e.g., "Iteration 15,000 / 30,000") Training Status: Current phase (SfM, Training, Complete, etc.) VRAM Usage: GPU memory usage percentage and available memory Training Metrics: Loss values, PSNR, and other quality metrics Processing Time: Elapsed time for current training session System Status: GPU backend (CUDA/Vulkan) and device information Tip: Monitor the VRAM usage in the status bar. If it exceeds 90%, consider reducing training resolution or enabling tiled rendering to avoid out-of-memory errors. Scene Hierarchy Panel The Scene Hierarchy panel on the right side of the interface displays the structure of your 3D scene. This panel allows you to: View all objects and components in the scene Select objects by clicking on them in the hierarchy Organize scene elements in a tree structure Access object properties and settings Enable or disable visibility of specific elements Common elements shown in the hierarchy include: Camera positions and poses Gaussian splat groups Scene objects and meshes Light sources and environment settings Inspector Panel The Inspector panel, also located on the right side, displays detailed properties and settings for the currently selected object or scene element. The Inspector panel allows you to: View and edit object properties (position, rotation, scale) Adjust training parameters for selected splats Modify material and rendering settings Configure camera settings and views Access advanced options and parameters When no object is selected, the Inspector panel shows general scene settings and global parameters. Note: You can resize panels by dragging their borders. Right-click on panel headers to access additional options like docking, floating, or hiding panels. 3D Viewport The central 3D viewport is where you interact with and preview your 3D scene. The viewport provides: Real-time preview of the reconstruction during training Interactive navigation and camera controls Visual feedback for selection and editing operations Display of training progress and quality improvements Use the viewport controls to navigate around your scene, inspect reconstruction quality, and verify camera poses. The viewport updates in real-time as training progresses, allowing you to monitor the reconstruction quality throughout the process. Importing Images divshot supports various image and video formats for 3D reconstruction. You can import images individually or as a batch, and also import videos which will be automatically processed into frames. Supported Input Formats Images: JPG, PNG Videos: MP4, MOV, MKV, AVI Importing Videos When importing videos, divshot automatically extracts frames for reconstruction. You can adjust frame extraction settings to balance quality and processing time. Importing and processing video files for 3D reconstruction Image Capture Tips Capture images with 60-80% overlap between consecutive shots Maintain consistent lighting conditions Avoid motion blur and out-of-focus images Cover the subject from multiple angles (360° if possible) For best results, use 100-500 images depending on scene complexity Tip: Higher resolution images (4K, 8K) produce more detailed reconstructions but require more VRAM and processing time. Running Reconstruction The reconstruction process consists of two main phases: camera pose estimation and Gaussian splatting training. Camera Pose Estimation divshot uses Structure from Motion (SfM) to determine camera positions. This process is automatic and typically takes a few minutes. The SfM process analyzes feature points across your images to reconstruct camera poses and a sparse point cloud. Structure from Motion (SfM) camera pose estimation Gaussian Splatting Training The 3DGS training iteratively optimizes Gaussian primitives to match your input images. Training progress is visible in real-time through the preview window. You can monitor training metrics and adjust parameters as needed. 3D Gaussian Splatting training with real-time preview Training Parameters Iterations: Default 30,000 (increase for more detail) Learning Rate: Automatic adjustment recommended Densification: Controls Gaussian point density Preview & Navigation Navigate your 3D scene in real-time during and after training. The preview window updates continuously as training progresses, allowing you to monitor reconstruction quality. Navigation Controls Right Mouse + Drag Rotate camera around scene Middle Mouse + Drag Pan camera Scroll Wheel Zoom in/out WASDQE Keys Fly-through navigation Shift Increase movement speed Rendering Mode Toggle divshot provides different rendering modes to visualize your Gaussian splats in various ways. You can switch between rendering modes using the tool buttons on the right side of the scene view. Splat Mode The default rendering mode displays Gaussian splats as smooth, blended surfaces. This mode provides the most realistic visualization of your reconstruction and is ideal for previewing the final result. Splat rendering mode - smooth blended surface visualization Point Mode Point mode displays each Gaussian splat as a single point, showing the underlying structure and distribution of splats. This mode is useful for inspecting splat density and identifying areas that may need more splats or editing. Point rendering mode - individual splat points visualization Rings Mode Rings mode visualizes Gaussian splats as circular rings, displaying their size and orientation. This mode helps you understand the scale and distribution of splats in your scene, making it easier to identify outliers or areas with inconsistent splat sizes. Rings rendering mode - circular ring visualization showing splat size and orientation Tip: Switch between rendering modes during training to better understand how your splats are being optimized. Point mode and rings mode are particularly useful for debugging and quality inspection. Splats Editing Edit and refine your Gaussian splats to improve reconstruction quality and remove unwanted elements. Editing Tools divshot provides various editing tools to manipulate Gaussian splats: Selection: Select individual or groups of splats for editing Delete: Remove unwanted splats from the scene Transform: Move, rotate, or scale selected splats Splats editing interface with selection and manipulation tools Selection Tools divshot provides 6 different splat selection tools, allowing you to choose the most appropriate selection method based on your needs: Rectangle Selection (Rect): Drag to create a rectangular selection area, selecting all splats within the rectangle. Lasso Selection (Lasso): Draw a freeform curve to create an arbitrary shape selection, ideal for irregular areas. Polygon Selection (Polygon): Click points to form a closed polygon, useful for regular or semi-regular selections. Brush Selection (Brush): Paint over areas like a brush to select splats, suitable for detailed and precise selections. Sphere Selection (Sphere): Select splats within a spherical volume in 3D space, convenient for overlapping spatial selections. Box Selection (Box): Similar to sphere selection but with a cubic volume, ideal for batch selection of regular volumes. Sphere selection tool example Brush selection tool example Editing Selected Splats Once you have selected a region of splats or specific splats using any of the selection tools, you can perform various editing operations through the Splats menu submenu items. These operations allow you to refine your reconstruction by removing unwanted parts and keeping only the desired elements, resulting in a clean object. Splats Menu Operations The Splats menu provides the following editing operations: Invert Selection: Reverse the current selection to select all previously unselected splats. Useful when you want to keep a small region and remove everything else. Delete Selected: Remove all selected splats from the scene. This is the primary method for cleaning up unwanted parts of your reconstruction. Clear Selection: Deselect all currently selected splats. Keyboard Shortcuts For faster workflow, you can use keyboard shortcuts for common operations: Ctrl+I (or Cmd+I on Mac) Invert selection Delete or Backspace Delete selected splats Esc Clear selection Workflow: Cleaning Your Reconstruction Follow these steps to clean up your reconstruction: Use any selection tool to select unwanted splats or regions If needed, use Invert Selection to select everything except the region you want to keep Delete the selected splats using the Delete command or keyboard shortcut Repeat the selection and deletion process as needed to remove all unwanted parts Once editing is complete, click the Apply tool button to finalize your changes Export the edited model using File → Export to save your cleaned reconstruction Tip: The Apply button commits your editing changes. Make sure you're satisfied with your selection before clicking Apply, as some changes may be difficult to undo. You can always use Undo (Ctrl+Z) to revert recent changes before applying. Best Practices Use selection tools to isolate problematic areas before editing Delete outlier splats that don't match the scene geometry Adjust density in areas with reconstruction artifacts Save your work frequently when making extensive edits Exporting Models Export your reconstructed scenes in various formats for use in other applications. Access the export dialog through File → Export or use the export button in the toolbar. Exporting 3DGS Models Export models in 3D Gaussian Splatting formats: PLY: Native Gaussian Splatting format with full quality (.ply) SPZ: Scanniverse scene format (.spz; quantized) Splats: Compressed Gaussian Splatting format (.splat; quantized, omits higher-order SH colors) SOG: Losslessly compressed Gaussian Splatting format (.sog) Export dialog showing available 3DGS format options Export Options Choose output directory and filename Select format based on your use case For web deployment, use compressed formats like SPZ or SOG For maximum quality, use PLY format Exporting Mesh (Future Feature) Future versions will support converting 3DGS models to traditional mesh formats: GLTF/GLB: Standard 3D format for web and game engines OBJ: Universal mesh format with textures FBX: Autodesk format for 3D software integration Image Masking Use masks to exclude unwanted objects or backgrounds from reconstruction. Creating Masks Masks are grayscale images where white areas are included and black areas are excluded from reconstruction. Memory Management Optimize VRAM usage for large-scale reconstructions. The status bar provides real-time VRAM monitoring to help you manage memory effectively. Memory Optimization Tips Enable tiled rendering for scenes exceeding VRAM capacity Reduce training resolution for initial tests Close other GPU-intensive applications during training Process videos with lower frame extraction rates to reduce memory usage Use compressed export formats (SPZ, SOG) to reduce file sizes Note: Monitor VRAM usage in the status bar. If usage exceeds 90%, consider reducing quality settings or using tiled rendering. Supported Formats Input Formats Type Formats Images JPG, JPEG, PNG Videos MP4, MOV, MKV, AVI Output Formats Format Description PLY Gaussian Splatting native format SPZ Scanniverse scene format (.spz; quantized) Splats Compressed Gaussian Splatting format (.splats; quantized, omits higher-order SH colors) SOG Losslessly compressed Gaussian Splatting format (.sog) Command Line Interface divshot includes a CLI for batch processing and automation. Basic Commands # Start reconstruction divshot-studio --input ./images --output ./output # Start reconstruction with pre-computed camera poses divshot-studio --input ./images --output ./output --camera-poses-path "transforms.csv" --sparse-points-path "sparse_pc.ply" Command line help output example Typical CLI workflow for starting a 3D reconstruction CLI usage for exporting a finished reconstruction to different formats Common Options --steps Number of training iterations (default: 30000) --max-resolution Maximum training resolution scale (4096) --max-splats Maximum number of splats (default: 3000000) Troubleshooting Common Issues CUDA out of memory error Reduce training resolution or enable tiled rendering. Close other GPU applications and try again. Camera pose estimation fails Ensure sufficient image overlap (60-80%). Check for motion blur or inconsistent lighting in images. Reconstruction has holes or artifacts Add more images from missing angles. Increase training iterations or adjust densification parameters. Slow training performance Check GPU driver version. Ensure CUDA is properly configured. Reduce input image resolution. Getting Help For additional support, contact us at fhymyang@gmail.com