most citedEXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models

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cs.CV2026

ORBIS: Output-Guided Token Reduction with Distribution-Aware Matching for Video Diffusion Acceleration

Hangyeol Lee, Joo-Young Kim

Diffusion Transformer (DiT) has emerged as a powerful model architecture for generating high-quality images and videos. In the case of video DiT, 3D Spatio-Temporal Attention incre…

cs.CV2026

Rethinking Token Reduction for Diffusion Models via Output-Similarity-Awareness

Hangyeol Lee, Hyojeong Lee, Joo-Young Kim

Diffusion Transformers (DiTs) achieve superior image generation quality but suffer from quadratic computational complexity relative to token count. While various token reduction (T…