SeVa
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[MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501
Thanks for your wonderful work! Could you please provide the codes or implementation instructions for test-time image augmentations used in Figure 2, such as Diffusion-Weak (‘W’) and Diffusion-Strong (’S’), mixtures:...
Hi, thank you for your great work! I tried to test the model that you released! But I found the evaluation results are different from the LLaVA repo. I evaludated...
Thank you for this work! I noticed that the model checkpoints lead to invalid links. When are you planning on releasing the models?