Author

D. Soh

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Preprint Sep 2026

DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence

High-compression tokenizers are essential for scaling latent image generative models. However, aggressive compression creates a fundamental tradeoff between reconstruction fidelity and generation efficiency: high compression image encoder always increases the learning difficulty of diffusion training, resulting in slow...

Xue-Zheng Huang, Ye Huang, Zi-Jun Liao et al. · 0 citations

Preprint Sep 2026

Depth-to-Image Synthesis-Driven Generative Unguided Depth Completion

Guided depth completion methods heavily depend on RGB quality and alignment, while unguided ones often suffer from limited precision due to the absence of explicit visual cues. In this paper, we present Depth-to-Image Synthesis-Driven Generative Unguided Depth Completion (GUDC), a new completion paradigm that innovativ...

Jia-Yi Yuan, Na Zhao, D. Soh · 0 citations

Jul 2026

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes

This paper introduces MAR-12, a novel framework that leverages Vision Language Models (VLMs) for meme detection and understanding in settings where humorous and hateful elements may coexist, and confirms that MAR-12 produces coherent and persuasive explanations.

Shanhong Liu, Pai Chet Ng, D. Soh et al. · arXiv.org · 0 citations