works on

From the 1 of 23 linked papers with an AI index.

activity
20242026
collaborators

23 papers

cs.CV2026

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation

Yannan He, Garvita Tiwari, Xiaohan Zhang +4

MoLingo is a model that generates realistic human motion from textual descriptions by using a semantically aligned latent space and cross‑attention conditioning during diffusion.

cs.CV2026

Dynamic Inverse Rendering for Enhanced Material-Lighting Decomposition

Raza Yunus, Benjamin Ummenhofer, Jan Eric Lenssen +1

Decomposing outgoing surface radiance into material and illumination during inverse rendering is essential for applications such as relighting and augmented reality, yet it is seve…

cs.CV2026

CSFlow: Aligning Flow Matching with Human Contrast Sensitivity

Malgorzata Galinska, Bart Pogodzinski, Jan Eric Lenssen

We introduce Contrast Sensitive Flow (CSFlow), a weighting scheme that connects the human eye's Contrast Sensitivity Function (CSF) to the iterative denoising steps of flow matchin…

cs.CV2026

MoonSeg3R: Monocular Online Zero-Shot Segment Anything in 3D with Reconstructive Foundation Priors

Zhipeng Du, Duolikun Danier, Jan Eric Lenssen +1

In this paper, we focus on online zero-shot monocular 3D instance segmentation, a novel practical setting where existing approaches fail to perform because they rely on posed RGB-D…

cs.LG2026

KumoRFM-2: Scaling Foundation Models for Relational Learning

Valter Hudovernik, Federico López, Vid Kocijan +4

We introduce KumoRFM-2, the next iteration of a pre-trained foundation model for relational data. KumoRFM-2 supports in-context learning as well as fine-tuning and is applicable to…

cs.CV2026

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…