9 citations · 9 across the 8 of their papers we have counts for
8 papers
SyntheticDoc: A Large Synthetic Dataset for Document Unwarping and Illumination Correction
Daniel Woortmann, Tanguy Magne, Olga Sorkine-Hornung
Deep learning models have become the standard tool for document rectification and illumination correction, yet their performance is fundamentally bound by their training data. For…
Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting
Peizhuo Li, Emre Aksan, Alexandru-Eugen Ichim +2
Diffusion models faithfully reproduce their training distribution, but also inherit its imbalances and leave rare or under-represented modes hard to reach. A natural inference-time…
Single-Line Drawing Generation via Semantics-Driven Optimization
Tanguy Magne, Alexandre Binninger, Ruben Wiersma +1
Line drawings are a highly expressive art form that requires the artist to abstract and distill the essence of their subject. We present the first semantics-driven method for autom…
Rigid Body Dynamics in Ambient Fluids
Marcel Padilla, Aviv Segall, Olga Sorkine-Hornung
We present a novel framework for rigid body dynamics in ambient media, such as air or water, enabling accurate motion prediction of objects without requiring computational fluid dy…
Dancing Points: Synthesizing Ballroom Dancing with Three-Point Inputs
Peizhuo Li, Sebastian Starke, Yuting Ye +1
Ballroom dancing is a structured yet expressive motion category. Its highly diverse movement and complex interactions between leader and follower dancers make the understanding and…
WalkTheDog: Cross-Morphology Motion Alignment via Phase Manifolds
Peizhuo Li, Sebastian Starke, Yuting Ye +1
We present a new approach for understanding the periodicity structure and semantics of motion datasets, independently of the morphology and skeletal structure of characters. Unlike…