Pixelpiece3 File

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

Comparison against NYU Depth V2 and KITTI datasets. Pixelpiece3

Implementation of a Diffusion Transformer (DiT) specifically tuned for depth map synthesis. We propose a framework that operates entirely within

Visual evidence of reduced noise and sharper depth transitions compared to state-of-the-art latent models. 4. Conclusion Pixelpiece3