<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Depth Estimation | Denis Mbey Akola</title><link>https://denis-mbey-akola.com/tag/depth-estimation/</link><atom:link href="https://denis-mbey-akola.com/tag/depth-estimation/index.xml" rel="self" type="application/rss+xml"/><description>Depth Estimation</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 28 Aug 2026 00:00:00 +0000</lastBuildDate><image><url>https://denis-mbey-akola.com/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_3.png</url><title>Depth Estimation</title><link>https://denis-mbey-akola.com/tag/depth-estimation/</link></image><item><title>Zero-Shot Novel Depth Synthesis Using 3D Foundation Model Scene Representations</title><link>https://denis-mbey-akola.com/publication/z3d/</link><pubDate>Fri, 28 Aug 2026 00:00:00 +0000</pubDate><guid>https://denis-mbey-akola.com/publication/z3d/</guid><description>&lt;h2 id="zero-shot-novel-depth-synthesis-using-3d-foundation-model-scene-representations">Zero-Shot Novel Depth Synthesis Using 3D Foundation Model Scene Representations&lt;/h2>
&lt;p>Z3D is a zero-shot framework for novel-view depth synthesis that combines
3D foundation model scene representations with a diffusion model to
predict depth from sparse source views.&lt;/p>
&lt;p>Given source images and the relative pose of a target view, Z3D first
extracts a scene representation from the source views using a pretrained
3D foundation model. The resulting representation is then used to
synthesize the depth of the target view without requiring target-view
depth supervision.&lt;/p>
&lt;p>&lt;a href="https://akola-mbey-denis.github.io/Z3D-page/" target="_blank" rel="noopener">Project Page&lt;/a> ·
&lt;a href="https://github.com/Akola-Mbey-Denis/Z3D" target="_blank" rel="noopener">Code&lt;/a>&lt;/p></description></item></channel></rss>