Krynth vs Nerfstudio

Krynth is a web application that turns photos or video into cloud-rendered 3D scenes and textured meshes, while also processing existing Gaussian splat scans. Its browser viewer opens splat files and creates shareable viewer links. Accepted inputs include.ply,.splat,.spz, and.ksplat files from PostShot, Polycam, Luma, or another pipeline. Listed exports are.ply,.glb, and.obj; FBX is marked as coming soon. Krynth can produce textured mesh output for Unity, Unreal, or Three.js without a local GPU. Users can define camera paths and export MP4 cinematic videos in 4K and ProRes at 30 or 60 fps. Named destinations include Unity, Unreal Engine, Roblox, Blender, Three.js, Apple AR Quick Look, and WebXR. Plans include a free tier, monthly subscriptions, and one-time scans. Paid subscriptions start at $24.00 per month. Scans are private by default and original.ply files can be downloaded for self-hosting.

Nerfstudio is a free, open-source API and toolkit for creating, training, and testing Neural Radiance Fields through modular components. Included methods are Nerfacto, Instant-NGP, NeRF, Mip-NeRF, TensoRF, and Splatfacto, its Gaussian Splatting implementation. Command-line tools process data, train and evaluate models, render videos, view trained scenes, and export models. A web viewer shows training in real time, lets users interact with scenes, renders custom camera trajectories, and creates videos. Share URLs allow others to watch progress, but those links are publicly accessible and can add latency. Documented capture workflows use COLMAP, Polycam, or Record3D to turn phone video into a 3D render. Installation is available through pip, source, or Docker. Docker requires NVIDIA GPU drivers supporting CUDA 11.8, and the quickstart requires an NVIDIA video card with CUDA installed. The project supports Tensorboard and Wandb logging, profiling, and debugging. It runs across Linux, Windows, web, API, and self-hosted environments, with Windows described as less tested and more fragile.