Tang et al.
Adaptive reference attention reuse speeds up conditioned diffusion transformers
RefAdapt-DiT uses observed target dynamics to decide when to reuse stale reference keys and values without retraining.
Chinese Tech
Jian Tang · Jiawei Fan · Qiannan Zhou · Qingbin Liu · Jiang Bian · Zang Li
Tencent
Research Digest··2 min read
The authors propose RefAdapt-DiT, a training-free framework that adaptively controls joint attention computation between reference images and target generation in diffusion transformers.
Why this paper
From Tencent
In one line
RefAdapt-DiT adaptively reuses reference computations in diffusion transformers, achieving up to 3.54x speedup on Qwen Image Edit with comparable quality.
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