Blog
How the pipeline works, why decisions were made, and what to expect from GPU-native media processing.
You converted your footage to 3D. Now what? A practical guide to stereo formats, players, and which settings work on each device.
The stages before depth estimation are often skipped. They should not be. How preprocessing choices ripple through the entire pipeline.
VR adoption isn't stuck because headsets aren't good enough. VR is stuck because catalog supply still doesn't compound. Conversion manifests will make conversion investable because they make it governable.
When scarcity collapses, pricing power moves. When pricing power moves, people feel it. What happens when the game you built your life around gets rewritten?
The mechanics behind per-frame depth maps — from learned priors to failure modes — and why temporal consistency is the hard part.
How frame interpolation creates new frames, common artifacts, and tips for smoother results.
How upscaling recovers detail, the difference between real and hallucinated information, and practical tips.
A founder's reflection on explaining complex technology to children, and what it teaches about product clarity.
Stereo baseline is the single most important parameter in 2D-to-3D conversion, and most tools get it wrong by making it global instead of per-shot.
A depth map that looks perfect on a single frame can produce unwatchable video if it flickers between frames. Temporal consistency is how you fix it.
The economics of 2D-to-3D conversion have been stuck for a decade. GPU-native pipelines with AI depth estimation are about to restructure the cost curve.
Should you upscale your footage before or after estimating depth? The answer depends on what you are optimizing for, and it matters more than you think.
When you shift a 2D image to create a stereo pair, parts of the background are revealed that were never photographed. Filling those gaps is the inpainting problem.
More frames per second does not automatically mean smoother motion. Understanding the difference changes how you use interpolation tools.
VRAM is the silent bottleneck in every depth and stereo pipeline. Understanding what fills it — and what does not — changes how you configure your processing.
A children's toy from 1939 understood something about stereoscopic content that the modern VR industry keeps forgetting: the content has to come first.
AI upscaling can over-sharpen footage until it stops looking like the original. Understanding the perceptual boundary prevents the most common mistake.
Every video file carries invisible metadata — GPS coordinates, device identifiers, timestamps, software versions. Most processing tools ignore it. That matters.
Automated processing without automated QA is just fast failure. How anelo validates output at every stage of the pipeline.
A step-by-step guide to converting your first 2D video to stereo 3D with anelo. What to expect, what to check, and common first-timer mistakes.