Traditional monocular depth models like Marigold often suffer from blurry edges and depth artifacts due to the lossy nature of VAEs.
Moving diffusion to the pixel space represents a significant leap in the fidelity of generated depth maps. This has direct implications for high-resolution 3D reconstruction and augmented reality applications where depth precision is paramount. Pixelpiece3
How high-level semantic cues guide the diffusion process to differentiate between overlapping object boundaries. Pixelpiece3