Search Results for author: Shengguang Wu

Found 4 papers, 2 papers with code

DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models

no code implementations12 Dec 2023 Shengguang Wu, Mei Yuan, Qi Su

Recent advances in image and video creation, especially AI-based image synthesis, have led to the production of numerous visual scenes that exhibit a high level of abstractness and diversity.

Denoising Image Generation +2

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning

1 code implementation14 Nov 2023 Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou

The key to our data sampling technique lies in the enhancement of diversity in the chosen subsets, as the model selects new data points most distinct from any existing ones according to its current embedding space.

Instruction Following

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