3 papers
cs.CV2026
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation
Jente Vandersanden, Matheus Gadelha, Chun-Hao P. Huang +2
Multi-shot video generation requires maintaining a consistent appearance of recurring entities across shots while remaining faithful to shot-specific text prompts. Recent autoregre…
cs.CE2026
Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations
Sascha Holl, Jente Vandersanden, Gurprit Singh +1
Score-based generative modeling (SBGM) has achieved state-of-the-art performance in image generation, with the quality of generated images being highly dependent on the design of t…
cs.CV2026
Edge-preserving noise for diffusion models
Jente Vandersanden, Sascha Holl, Xingchang Huang +1
Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high-quality generation.…