Deep Meditations: Controlled navigation of latent space
We introduce a method which allows users to creatively explore and navigate the vast latent spaces of deep generative models. Specifically, our method enables users to \textit{discover} and \textit{design} \textit{trajectories} in these high dimensional spaces, to construct stories, and produce time-based media such as videos---\textit{with meaningful control over narrative}. Our goal is to encourage and aid the use of deep generative models as a medium for creative expression and story telling with meaningful human control. Our method is analogous to traditional video production pipelines in that we use a conventional non-linear video editor with proxy clips, and conform with arrays of latent space vectors. Examples can be seen at \url{http://deepmeditations.ai}.
Code (0)
등록된 구현이 없습니다.
Tasks
NavigateSimilar Papers 제목 키워드 기반
Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments
This work proposes a novel approach to social robot navigation by learning to generate robot controls from a social motion latent space. By leveraging this social motion latent space, the proposed method achieves signifi…
Robot NavigationSocial NavigationEfficient Image-Goal Navigation with Representative Latent World Model
World models enable robots to conduct counterfactual reasoning in physical environments by predicting future world states. While conventional approaches often prioritize pixel-level reconstruction of future scenes, such …
Trajectory PredictionLCLA: Language-Conditioned Latent Alignment for Vision-Language Navigation
We propose LCLA (Language-Conditioned Latent Alignment), a framework for vision-language navigation that learns modular perception-action interfaces by aligning sensory observations to a latent representation of an exper…
Vision-Language NavigationZero-shot GeneralizationTrained Latent Space Navigation to Prevent Lack of Photorealism in Generated Images on Style-based Models
Recent studies on StyleGAN variants show promising performances for various generation tasks. In these models, latent codes have traditionally been manipulated and searched for the desired images. However, this approach …
Navigating Conceptual Space; A new take on Artificial General Intelligence
Edward C. Tolman found reinforcement learning unsatisfactory for explaining intelligence and proposed a clear distinction between learning and behavior. Tolman's ideas on latent learning and cognitive maps eventually led…
Autonomous NavigationRobot Navigationvalid