AI RESEARCH
DSS-GAN: Directional State Space GAN with Mamba backbone for Class-Conditional Image Synthesis
arXiv CS.LG
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ArXi:2603.17637v1 Announce Type: new We present DSS-GAN, the first generative adversarial network to employ Mamba as a hierarchical generator backbone for noise-to-image synthesis. The central contribution is Directional Latent Routing (DLR), a novel conditioning mechanism that decomposes the latent vector into direction-specific subvectors, each jointly projected with a class embedding to produce a feature-wise affine modulation of the corresponding Mamba scan.