Immersity (formerly LeiaPix Converter) vs Text-To-4D

Immersity, formerly LeiaPix Converter, turns flat photos and videos into depth animations you can view on a normal screen or XR headset. You upload a 2D file, the Neural Depth Engine builds a depth map, and you export formats like side-by-side 3D, depth maps, spatial video for Apple Vision Pro, or animated Immersive Motion clips.

Generic 3D photo apps often stop at a single parallax wiggle. Immersity separates foreground and background into distinct layers with Neural Depth Rendering 4.0, which fills in obscured details when you pan or zoom the viewpoint. It also converts video, not just stills, with export options up to 4K on paid plans.

Creators, marketers, and XR hobbyists use it for social clips, travel footage, and stereoscopic content without building depth maps by hand. The free tier allows unlimited watermarked conversions up to 720p; paid image plans start at $4.99 per month for 500 credits and 4K output without watermarks.

Text-To-4D is a Meta AI research project (MAV3D) that generates three-dimensional dynamic scenes from text descriptions. The method uses a 4D dynamic Neural Radiance Field optimized for appearance, density, and motion consistency by querying a text-to-video diffusion model.

Unlike static 3D generators that output a single mesh, Text-To-4D produces scenes you can view from any camera angle and composite into other 3D environments. The approach needs no 3D or 4D training data; the underlying text-to-video model trains only on text-image pairs and unlabeled videos.

The project page hosts demo samples for text-to-4D prompts like "a corgi playing with a ball" and image-to-4D conversions from still photos. It is a research showcase, not a commercial product with a public API or signup. Researchers and 3D artists interested in NeRF-based dynamic scene generation can explore the paper and sample outputs on the site.