12 papers
DeCorStory: Gram-Schmidt Prompt Embedding Decorrelation for Consistent Storytelling
Ayushman Sarkar, Zhenyu Yu, Mohd Yamani Idna Idris
Maintaining visual and semantic consistency across frames is a key challenge in text-to-image storytelling. Existing training-free methods, such as One-Prompt-One-Story, concatenat…
StoryState: Agent-Based State Control for Consistent and Editable Storybooks
Ayushman Sarkar, Zhenyu Yu, Wei Tang +3
Large multimodal models have enabled one-click storybook generation, where users provide a short description and receive a multi-page illustrated story. However, the underlying sto…
ReDiStory: Region-Disentangled Diffusion for Consistent Visual Story Generation
Ayushman Sarkar, Zhenyu Yu, Chu Chen +3
Generating coherent visual stories requires maintaining subject identity across multiple images while preserving frame-specific semantics. Recent training-free methods concatenate…
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion
Zhenyu Yu, Mohd Yamani Idna Idris, Hua Wang +3
Quantitative remote sensing inversion aims to estimate continuous surface variables-such as biomass, vegetation indices, and evapotranspiration-from satellite observations, support…
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge
Tarique Dahri, Zulfiqar Ali Memon, Zhenyu Yu +6
We introduce Layered Self-Supervised Knowledge Distillation (LSSKD) framework for training compact deep learning models. Unlike traditional methods that rely on pre-trained teacher…
SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
Zhenyu Yu, Mohd. Yamani Idna Idris, Pei Wang +3
We propose SatelliteFormula, a novel symbolic regression framework that derives physically interpretable expressions directly from multi-spectral remote sensing imagery. Unlike tra…