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cs.CV2025
A Scalable Attention-Based Approach for Image-to-3D Texture Mapping
Arianna Rampini, Kanika Madan, Bruno Roy +2
High-quality textures are critical for realistic 3D content creation, yet existing generative methods are slow, rely on UV maps, and often fail to remain faithful to a reference im…
cs.CV2025
End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards
AmirHossein Zamani, Tianhao Xie, Amir G. Aghdam +2
While recent 3D generative models can produce high-quality texture images, they often fail to capture human preferences or meet task-specific requirements. Moreover, a core challen…
cs.CV2024
Temporally Consistent Object Editing in Videos using Extended Attention
AmirHossein Zamani, Amir G. Aghdam, Tiberiu Popa +1
Image generation and editing have seen a great deal of advancements with the rise of large-scale diffusion models that allow user control of different modalities such as text, mask…