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Marco De Nadai

3 accepted papers

2021

Click To Move: Controlling Video Generation With Sparse Motion

ICCV 2021poster

This paper introduces Click to Move (C2M), a novel framework for video generation where the user can control the motion of the synthesized video through mouse clicks specifying simple object trajectories of the key objects in the scene. Our model receives as input an initial frame, its corresponding…

Cited by 14PDFcodeScholar
2021

Efficient Training of Visual Transformers with Small Datasets

NeurIPS 2021poster

Visual Transformers (VTs) are emerging as an architectural paradigm alternative to Convolutional networks (CNNs). Differently from CNNs, VTs can capture global relations between image elements and they potentially have a larger representation capacity. However, the lack of the typical convolutional…

2021

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

CVPR 2021poster

Image-to-Image (I2I) multi-domain translation models are usually evaluated also using the quality of their semantic interpolation results. However, state-of-the-art models frequently show abrupt changes in the image appearance during interpolation, and usually perform poorly in interpolations across…

Cited by 58PDFScholar