3DMM-GAN: Multi-Modal Alignment With Adversarial Learning for Compositional 3D Human Image Synthesis
Abstract: Current 3D-aware Generative Adversarial Networks (GANs) struggle to produce high-quality human images due to their limited ability to effectively integrate multi-modal information, ...
Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...
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