Author

Aryan Yazdan Parast

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#machine learning Preprint Oct 2026

ORCA: Hunting Compositional Failures in Text-to-Image Diffusion

Text-to-image diffusion models fail predictably on compositional prompts: attributes bind to the wrong objects, spatial relations invert, and multi-object scenes lose count. Recent architectures already augment CLIP with a T5 encoder precisely because CLIP's contrastive embedding loses compositional structure, yet thes...

Arshia Hemmat, Amirhossein Vahidi, Amitis Shidani et al. · 0 citations

Jun 2026

Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment

Intermediate Text Representation (IR)-guided diffusion is proposed, which injects intermediate hidden states of the text encoder into the conditioning signal during early denoising steps, recovering suppressed concepts without any additional training, optimization, or external models.

Soyoun Won, Aryan Yazdan Parast, Basim Azam et al. · arXiv.org · 0 citations