Focused Gaze Stable Diffusion Online With this work, we introduce the concept of foveated diffusion and develop a practical framework for post training existing image or video generation models for foveated visual generation. Foveated diffusion can be trained on arbitrary foveation masks, enabling various applications. we demonstrate one such application by training a model for saliency guided image generation by using deepgaze predicted saliency maps as foveation masks during training instead of randomly placed masks.
Human Face Forward Gaze Stable Diffusion Online Our work seeks to optimize the efficiency of the generation process in settings where the user's gaze location is known or can be estimated, for example, by using eye tracking. In this work, we present an up to date integrative view of the domain from the point of view of the rendering methods employed, discussing general characteristics, commonalities, differences, advantages, and limitations. To this end, we develop a principled mechanism for constructing mixed resolution tokens directly from high resolution data, allowing a foveated diffusion model to be post trained from an existing base model while maintaining content consistency across resolutions. These methods dynamically adapt spatial compression based on gaze tracking input, ensuring optimal perceptual quality. we integrate these methods together with their static counterparts into the open source air light vr (alvr) remote rendering framework, enabling native (72 fps) framerates.
Light S Directional Gaze Stable Diffusion Online To this end, we develop a principled mechanism for constructing mixed resolution tokens directly from high resolution data, allowing a foveated diffusion model to be post trained from an existing base model while maintaining content consistency across resolutions. These methods dynamically adapt spatial compression based on gaze tracking input, ensuring optimal perceptual quality. we integrate these methods together with their static counterparts into the open source air light vr (alvr) remote rendering framework, enabling native (72 fps) framerates. Explore diffusion based gaze synthesis methods that use denoising diffusion models to generate realistic, temporally coherent gaze trajectories and images. We present gazegen, a user interaction system that generates visual content (images and videos) for locations indicated by the user's eye gaze. gazegen allows intuitive manipulation of visual content by targeting regions of interest with gaze. We validate our approach through extensive analysis and a carefully designed user study, demonstrating the efficacy of foveation as a practical and scalable axis for efficient generation.
Light S Directional Gaze Stable Diffusion Online Explore diffusion based gaze synthesis methods that use denoising diffusion models to generate realistic, temporally coherent gaze trajectories and images. We present gazegen, a user interaction system that generates visual content (images and videos) for locations indicated by the user's eye gaze. gazegen allows intuitive manipulation of visual content by targeting regions of interest with gaze. We validate our approach through extensive analysis and a carefully designed user study, demonstrating the efficacy of foveation as a practical and scalable axis for efficient generation.
Compositional Visual Generation With Composable Diffusion Models We validate our approach through extensive analysis and a carefully designed user study, demonstrating the efficacy of foveation as a practical and scalable axis for efficient generation.
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