1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models
Taewon Kang, Matthias Zwicker
Text-to-video diffusion models generate temporally coherent content from natural language, yet when a prompt describes an early scene that persists while a new event emerges on top…
cs.CV2026
DCR: Counterfactual Attractor Guidance for Rare Compositional Generation
Taewon Kang, Matthias Zwicker
Diffusion models generate realistic visual content, yet often fail to produce rare but plausible compositions. When prompted with combinations that are valid but underrepresented i…
cs.CV2021★ 1 cited
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching
Chen Chao, Zhizhong Han, Yu-Shen Liu +1
Learning to generate 3D point clouds without 3D supervision is an important but challenging problem. Current solutions leverage various differentiable renderers to project the gene…