2 papers
cs.CV2024
What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality
Zihan Wang, Songlin Li, Lingyan Hao +2
As video generation models advance rapidly, assessing the quality of generated videos has become increasingly critical. Existing metrics, such as Fréchet Video Distance (FVD), Inc…
cs.CV2024
PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers
Songlin Li, Despoina Paschalidou, Leonidas Guibas
The increased demand for tools that automate the 3D content creation process led to tremendous progress in deep generative models that can generate diverse 3D objects of high fidel…