6 papers
MixFlow: Mixed Source Distributions Improve Rectified Flows
Nazir Nayal, Christopher Wewer, Jan Eric Lenssen
Diffusion models and their variations, such as rectified flows, generate diverse and high-quality images, but they are still hindered by slow iterative sampling caused by the highl…
SceneTok: A Compressed, Diffusable Token Space for 3D Scenes
Mohammad Asim, Christopher Wewer, Jan Eric Lenssen
We present SceneTok, a novel tokenizer for encoding view sets of scenes into a compressed and diffusable set of unstructured tokens. Existing approaches for 3D scene representation…
SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis
Xinya Chen, Christopher Wewer, Jiahao Xie +2
We present SemanticNVS, a camera-conditioned multi-view diffusion model for novel view synthesis (NVS), which improves generation quality and consistency by integrating pre-trained…
MEt3R: Measuring Multi-View Consistency in Generated Images
Mohammad Asim, Christopher Wewer, Thomas Wimmer +2
We introduce MEt3R, a metric for multi-view consistency in generated images. Large-scale generative models for multi-view image generation are rapidly advancing the field of 3D inf…
Spatial Reasoners for Continuous Variables in Any Domain
Bart Pogodzinski, Christopher Wewer, Bernt Schiele +1
We present Spatial Reasoners, a software framework to perform spatial reasoning over continuous variables with generative denoising models. Denoising generative models have become…
Spatial Reasoning with Denoising Models
Christopher Wewer, Bart Pogodzinski, Bernt Schiele +1
We introduce Spatial Reasoning Models (SRMs), a framework to perform reasoning over sets of continuous variables via denoising generative models. SRMs infer continuous representati…