3 papers
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
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…
cs.CV2024
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…