Pixelpiece3 Review

We propose a framework that operates entirely within pixel space to maintain edge sharpness and spatial integrity. 2. Methodology: Pixel-Space Diffusion

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

Traditional monocular depth models like Marigold often suffer from blurry edges and depth artifacts due to the lossy nature of VAEs. We propose a framework that operates entirely within

How high-level semantic cues guide the diffusion process to differentiate between overlapping object boundaries. Pixelpiece3

Comparison against NYU Depth V2 and KITTI datasets.