Author

Junhyeok Kim

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#artificial intelligence Mar 2026

Anchoring and Rescaling Attention for Semantically Coherent Inbetweening

This work gives semantic and temporal guidance from the keyframes and text onto each intermediate frame through Keyframe-anchored Attention Bias and better enforce frame consistency with Rescaled Temporal RoPE, which allows self-attention to attend to keyframes more faithfully.

Tae Eun Choi, Sumin Shim, Junhyeok Kim et al. · arXiv.org · 3 citations

Preprint Oct 2026

On the Necessity of Attention-FFN Split in Vision Transformers

The standard Transformer architecture relies on a rigid pattern that alternates Attention and Feed-Forward Network (FFN) layers. Despite its widespread adoption, the inductive bias imposed by this strict separation has not been systematically examined. In this work, we investigate the necessity of the Attention-FFN dic...

Junhyeok Kim, Jinyeong Kim, Jae Wan Park et al. · 0 citations