ArtiFixer uses diffusion models to rescue broken 3D scenes
Researchers just introduced ArtiFixer, a generative framework designed to repair sparse 3D reconstructions. By pairing an opacity-mixing model with an auto-regressive diffusion pipeline, it hallucinates missing backgrounds and cleans up artifacts when inputs are limited to a handful of photos, beating previous baselines by up to 3 dB PSNR.