Pixelpiece3 -

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

Traditional monocular depth models like Marigold often suffer from blurry edges and depth artifacts due to the lossy nature of VAEs. Pixelpiece3

Implementation of a Diffusion Transformer (DiT) specifically tuned for depth map synthesis. Visual evidence of reduced noise and sharper depth

Detailed analysis of how bypassing latent-space compression removes "flying pixels" at depth discontinuities. 3. Quantitative and Qualitative Evaluation Pixelpiece3

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.