Search Results for author:
Found 5 papers, 3 papers with code
E.T. the Exceptional Trajectories: Text-to-camera-trajectory generation with character awareness
dataset, we propose a diffusion-based approach, named DIRECTOR, which generates complex camera trajectories from textual captions that describe the relation and synchronisation between the camera and characters.
Ranked #1 on
3D Generation
on E.T. the Exceptional Trajectories
FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild
In this paper, we propose FunnyNet-W, a model that relies on cross- and self-attention for visual, audio and text data to predict funny moments in videos.
BluNF: Blueprint Neural Field
BluNF provides a robust and user-friendly 2D blueprint, enabling intuitive scene editing.
JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
This paper presents JAWS, an optimization-driven approach that achieves the robust transfer of visual cinematic features from a reference in-the-wild video clip to a newly generated clip.
Machine Learning for Brain Disorders: Transformers and Visual Transformers
For image classification, the most common Transformer Architecture uses only the Transformer Encoder in order to transform the various input tokens.
