3 papers
cs.CV2026
Fillerbuster: Unified Generative Scene Completion Model for Casual Captures
Ethan Weber, Norman Müller, Yash Kant +4
We present Fillerbuster, a unified model that completes unknown regions of a 3D scene with a multi-view latent diffusion transformer. Casual captures are often sparse and miss surr…
cs.CV2025
FlowR: Flowing from Sparse to Dense 3D Reconstructions
Tobias Fischer, Samuel Rota Bulò, Yung-Hsu Yang +7
3D Gaussian splatting enables high-quality novel view synthesis (NVS) at real-time frame rates. However, its quality drops sharply as we depart from the training views. Thus, dense…
cs.CV2024
Multi-view Image Diffusion via Coordinate Noise and Fourier Attention
Justin Theiss, Norman Müller, Daeil Kim +1
Recently, text-to-image generation with diffusion models has made significant advancements in both higher fidelity and generalization capabilities compared to previous baselines. H…