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cs.CV2026
Understanding and Exploiting Diagonal Attention Sparsity in Autoregressive Image Generation
Daeun Kim, Junwha Hong, Changhun Oh +3
Autoregressive image generation has emerged as a paradigm for multimodal AI systems due to its compatibility with transformer-based LLM serving infrastructures. However, generating…
cs.CV2026
Isotropic Embedding Perturbations for Robust Vision Language Encoders
Hyesong Choi, Daeun Kim, Song Park +5
Data augmentation is fundamental to training modern deep vision and multimodal models. While individual methods, such as RandAug, CutMix, Mixup, RandErase, and DropPath, offer stro…