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cs.CV2025
SplitFlux: Learning to Decouple Content and Style from a Single Image
Yitong Yang, Yinglin Wang, Changshuo Wang +3
Disentangling image content and style is essential for customized image generation. Existing SDXL-based methods struggle to achieve high-quality results, while the recently propose…
cs.CV2025★ 1 cited
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer
Ziyang Chen, Wenting Li, Yongjun Zhang +4
Constrained by the low-rank bottleneck inherent in attention mechanisms, current stereo matching transformers suffer from limited nonlinear expressivity, which renders their featur…