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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.CV2025
Sketch-guided Cage-based 3D Gaussian Splatting Deformation
Tianhao Xie, Noam Aigerman, Eugene Belilovsky +1
3D Gaussian Splatting (GS) is one of the most promising novel 3D representations that has received great interest in computer graphics and computer vision. While various systems ha…
cs.CV2024
Towards motion from video diffusion models
Paul Janson, Tiberiu Popa, Eugene Belilovsky
Text-conditioned video diffusion models have emerged as a powerful tool in the realm of video generation and editing. But their ability to capture the nuances of human movement rem…