Holovolo

Converts 2D video or image inputs into stereoscopic VR180 format (180-degree field of view) optimized for immersive headsets and holographic displays. The system uses depth estimation and view synthesis algorithms to generate left/right eye perspectives from single-camera or multi-view source material, enabling creators to produce spatial video content without specialized volumetric capture rigs or multi-camera arrays.

Transforms 2D images, video, or 3D models into holographic representations suitable for display on spatial computing devices and holographic projection systems. The system applies volumetric rendering and depth-aware compositing to create the illusion of floating 3D objects that can be viewed from multiple angles, with automatic optimization for target display hardware (Meta Quest 3, Apple Vision Pro, holographic displays).

Offloads computationally intensive operations (depth estimation, view synthesis, rendering) to cloud-based GPU infrastructure, enabling fast processing of high-resolution content without requiring local hardware. The system uses distributed rendering to parallelize processing across multiple GPUs, with automatic load balancing and resource allocation based on job complexity and queue depth.

Provides an interactive web-based editor for composing and previewing VR180 content in real-time, with support for spatial placement of objects, adjustment of depth parameters, and live stereo visualization. The editor uses WebGL-based rendering to display stereoscopic previews and integrates with VR headsets via WebXR API for immersive in-headset editing and validation before final export.

Uses deep learning models (monocular depth estimation networks) to infer 3D geometry from single 2D images or video frames, then synthesizes left/right eye perspectives for stereoscopic VR180 output. The system handles temporal coherence across video frames to prevent flickering and applies view-dependent effects (parallax, occlusion handling) to create convincing stereo illusions without explicit 3D model construction.

Automatically optimizes and exports VR180 content for specific target devices (Meta Quest 3, Apple Vision Pro, generic holographic displays) by applying device-specific codec selection, resolution scaling, and spatial audio encoding. The system handles format conversion between internal representations and device-native formats (e.g., HEVC for Vision Pro, H.264 for Quest 3), with automatic bitrate optimization to balance quality and file size.

Enables automated processing of multiple video or image files through the VR180 conversion pipeline without manual intervention, with support for queuing, progress tracking, and error handling. The system uses a job-based architecture to distribute processing across available compute resources, with checkpointing to resume interrupted jobs and logging for debugging failed conversions.

Encodes spatial audio (Ambisonics, object-based audio) alongside VR180 video to create immersive soundscapes that respond to viewer head movement and spatial position. The system can extract or generate spatial audio from stereo or mono sources, apply head-tracking-aware audio rendering, and encode in formats compatible with spatial computing platforms (Dolby Atmos, Sony 360 Reality Audio).

Uses semantic segmentation and scene understanding models to identify objects, surfaces, and spatial relationships in source images/video, then applies targeted depth refinement to improve accuracy in specific regions (e.g., faces, hands, thin structures). The system can detect and correct common depth estimation artifacts (e.g., floating hair, disconnected limbs) through learned priors about object geometry and physics.

Generates intermediate viewpoints between stereo pairs or multiple source views using neural view synthesis techniques, enabling smooth parallax effects and wider viewing angles in VR180 content. The system can interpolate novel views from sparse input (e.g., 2-3 camera angles) to create the illusion of continuous 3D geometry, with support for temporal consistency across video frames.

Provides tools for placing, scaling, rotating, and positioning 3D objects (models, holograms, text) within VR180 scenes using spatial coordinates and depth-aware snapping. The system supports real-time preview of object placement with automatic occlusion handling, shadow casting, and lighting adjustments to ensure objects integrate naturally with background video. Objects can be animated with keyframe-based motion or physics simulation.