3 citations · 4 across the 3 of their papers we have counts for
4 papers
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), Ince…
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…
An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization
Nikolai Vogler, Songlin Li, Yujie Xu +2
We show that a simple unsupervised masking objective can approach near supervised performance on abstractive multi-document news summarization. Our method trains a state-of-the-art…
Grid Cells Are Ubiquitous in Neural Networks
Li Songlin, Deng Yangdong, Wang Zhihua
Grid cells are believed to play an important role in both spatial and non-spatial cognition tasks. A recent study observed the emergence of grid cells in an LSTM for path integrati…