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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.CV2025

Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes

Stefano Esposito, Anpei Chen, Christian Reiser +7

High-quality view synthesis relies on volume rendering, splatting, or surface rendering. While surface rendering is typically the fastest, it struggles to accurately model fuzzy ge…

cs.CV2025

A Recipe for Generating 3D Worlds From a Single Image

Katja Schwarz, Denys Rozumnyi, Samuel Rota Bulò +2

We introduce a recipe for generating immersive 3D worlds from a single image by framing the task as an in-context learning problem for 2D inpainting models. This approach requires…

cs.CV2025

Generative Gaussian Splatting: Generating 3D Scenes with Video Diffusion Priors

Katja Schwarz, Norman Mueller, Peter Kontschieder

Synthesizing consistent and photorealistic 3D scenes is an open problem in computer vision. Video diffusion models generate impressive videos but cannot directly synthesize 3D repr…

cs.CV2024

MultiDiff: Consistent Novel View Synthesis from a Single Image

Norman Müller, Katja Schwarz, Barbara Roessle +4

We introduce MultiDiff, a novel approach for consistent novel view synthesis of scenes from a single RGB image. The task of synthesizing novel views from a single reference image i…