MetaView: Large-Baseline Synthesis from Single Image
Kwai-Kolors · hf · 2026-07-16
This work introduces MetaView, a diffusion-based monocular novel view synthesis framework that renders new views under large viewpoint variations from a single input image.
The core idea combines two elements:
- Implicit geometric modeling: Enhances flexibility, avoiding the constraints of overly heavy explicit reconstruction pipelines
- A few but critical explicit 3D cues:
- A feedforward geometry-aware network provides implicit geometric priors to constrain structural consistency
- Metric depth anchors the generation to real-world scales
The goal is to achieve both geometric consistency and precise controllability. Experiments show that MetaView outperforms existing methods and generalizes better in the challenging scenario of large-baseline single-image synthesis; the code is open-source.
Related event: Kuaishou Unveils MetaView for Single-Image 3D Synthesis(2 posts)→
More from Multimodal
- Runway App Studio Demos: Character Swap and Production-Ready Character Sheets — runwayml · 2026-10-27
- Guy turns his girlfriend's selfie into a playable AI game ad about popping pimples — CurieuxExplorer · 2026-10-27
- Fibo 2 edit called unstable: even a color change alters the edited object — jd3k · 2026-10-27
- AIArtsy AI generates 3D cartoon-style sword fighting animation clip — Jealous-Associate-41 · 2026-10-27
- Seeking AI workflows for high-quality anime comics and colored manga pages — Worldly_Courage395 · 2026-10-27
- Open-source FableCut lets AI agents edit a real video timeline via remote MCP — FastPresence9799 · 2026-10-27