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cs.LG2026
Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders
Amandeep Kumar, Vishal M. Patel
Leveraging representation encoders for generative modeling offers a path for efficient, high-fidelity synthesis. However, standard diffusion transformers fail to converge on these…
cs.CV2026
Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation
Buddhi Wijenayake, Nichula Wasalathilake, Roshan Godaliyadda +3
Long-tailed class imbalance remains a fundamental obstacle in semantic segmentation of high-resolution remote-sensing imagery, where dominant classes shape learned representations…