3 papers
cs.CV2026
Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems
Antonios Tragoudaras, Chenyu Zhang, Daniil Cherniavskii +7
Recent advances in image and video generation raise hopes that these models possess world modeling capabilities-the ability to generate realistic, physically plausible videos. This…
cs.CV2026
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
Agata Żywot, Iason Skylitsis, Thijmen Nijdam +4
Text-to-image diffusion models like Stable Diffusion generate high-quality images from text, but lack a way to inject visual guidance (e.g. sketches, styles) at inference without r…
cs.IR2025
Reproducing NevIR: Negation in Neural Information Retrieval
Coen van den Elsen, Francien Barkhof, Thijmen Nijdam +2
Negation is a fundamental aspect of human communication, yet it remains a challenge for Language Models (LMs) in Information Retrieval (IR). Despite the heavy reliance of modern ne…