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Author

Vinh-Tiep Nguyen

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Conference Aug 2026

Efficient fMRI and Textual Alignment for Image Reconstruction from Human Brain Activity

In neural decoding research, reconstructing natural images from fMRI signals poses a captivating yet challenging problem. Conventional approaches use basic linear mapping functions to project fMRI signals into a prior latent space (e.g., image and text embeddings) and subsequently utilize a pre-trained image generation...

Bich-Nga Pham, Trong-Tai Dam Vu, Anh-Khoa Nguyen Vu et al. · 0 citations
Conference Aug 2026

Artistic Image Generation with Visual Balance Constraints

The development of Text-to-Image (T2I) models has made artistic image generation increasingly accessible. However, current diffusion models (e.g., Stable Diffusion XL) still struggle to maintain visual balance and preserve the desired artistic style. Moreover, previous works are often limited to the domain of classical...

Anh Nguyen, Dang Khoa Le, Vinh-Tiep Nguyen · 0 citations
Conference Aug 2026

Lightweight Stable Diffusion via StableKOT: Knowledge Distillation Meets Optimal Transport

Stable Diffusion models deliver photorealistic image synthesis but face computational bottlenecks that hinder deployment in resource-constrained environments. However, most existing distillation methods for diffusion models rely on point-wise feature matching, which often fails to preserve global semantic structure, or...

Bich-Nga Pham, Quoc-Truong Truong, Anh-Khoa Nguyen Vu et al. · 0 citations
Conference Aug 2026

Noun Presence Loss with Dynamic Weighting for Compositional Text-to-Image Generation

Compositional text-to-image generation requires faithful depiction of multiple objects with distinct visual attributes. While recent inference-time optimization methods have substantially improved attribute binding, entity neglect - where specified objects are absent from the generated image - remains an unresolved fai...

Trong-Tai Dam Vu, Vinh-Tiep Nguyen · 0 citations
Conference Aug 2026

MaskFlow: Attention-Guided Localized Editing for Rectified Flow Models

Text-guided image editing using rectified flow models such as Multimodal Diffusion Transformer (DiT) has demonstrated impressive generation quality. However, existing methods apply edits globally, inevitably modifying background regions unrelated to the intended semantic change. Our key observation is that the Text-to-...

Trong-Tai Dam Vu, Vinh-Tiep Nguyen · 0 citations

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