Modeling Depth Ambiguity: A Mixture-Density Representation for Flying-Point-Free Depth Estimation
- Published
- Source
- arXiv
- Paper number
- 301
- Field
- Computer Vision
- arXiv ID
- 2606.02552
Key points
- The authors trace this artifact to a standard modeling choice, namely assigning a single depth hypothesis to each pixel.
- They address this with MDA, a mixture-density representation that allows multiple depth hypotheses and their associated probabilities to be predicted for each pixel.
- Across different backbones, MDA substantially improves boundary reconstruction and removes most flying-point artifacts even under severe input blur, while adding only negligible runtime overhead.
Paper links
External research summaries. These are not HDATF publications or measured product results.