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Showing 1 to 10 of 10 for “"video synthesis."”.

  1. Natural video synthesis with Generative Adversarial Networks

    … for image generation, but the use of GANs for video generation is still largely unexplored. This thesis introduces new GAN based video generation methods by proposing the technique of model inflation and the segmentation-to-video task. The model inflation technique converts image generative …

    mit Repository record for Natural video synthesis with Generative Adversarial Networks (opens in a new tab)

  2. Example Based Processing For Image And Video Synthesis

    … expressed as: "Given an example of an image or video before and after processing, apply a similar processing to a new image or video". Our thesis is that there are some problems where a single general algorithm can be used to create varieties of outputs, solely by presenting examples of what is …

    gatech Repository record for Example Based Processing For Image And Video Synthesis (opens in a new tab)

  3. A Unified Framework for High-Frame-Rate High-Dynamic-Range Video Synthesis

    Creating high-dynamic-range (HDR) video at high-frame rates is a technically demanding and application-critical problem, particularly in domains such as cinematography and autonomous perception. The challenge arises from the limitations of conventional image sensors in capturing both temporal and …

    york Repository record for A Unified Framework for High-Frame-Rate High-Dynamic-Range Video Synthesis (opens in a new tab)

  4. Training large-scale video generative adversarial networks for high quality video synthesis

    Video synthesis using deep learning methods is an important yet challenging task for the computer vision community. Generative Adversarial Networks have been proved effective for generating high fidelity photo-realistic images. Recently, many video synthesis models achieve high fidelity and …

    uiuc Repository record for Training large-scale video generative adversarial networks for high quality video synthesis (opens in a new tab)

  5. Efficient Generative Models for Visual Synthesis

    … efficiency of generative models for image and video synthesis. First, we propose distribution matching distillation, a method that enables the training of one- or few-step visual generators by distilling knowledge from computationally expensive yet highly capable diffusion models. Next, we …

    mit Repository record for Efficient Generative Models for Visual Synthesis (opens in a new tab)

  6. Designing Immersive Art Experience - an exploration of visuals and sounds -

    … sound, AR, haptic sensors, audio-reactive video synthesis, MIDI controllers, and incense. There are five main topics covered: (i) existing ways of consuming/experiencing art; (ii) literature review, field research, and best practices; (iii) building a prototype design iteration for an IA …

    mit Repository record for Designing Immersive Art Experience - an exploration of visuals and sounds - (opens in a new tab)

  7. Model Acceleration for Efficient Deep Learning Computing

    … such as protein structure prediction, image/video synthesis, code generation, ChatBot, etc. However, their computation and memory costs grow dramatically. It makes deploying these foundation models on real-world applications difficult, especially for resource-constrained edge devices. In …

    mit Repository record for Model Acceleration for Efficient Deep Learning Computing (opens in a new tab)

  8. Learning for Visual Synthesis and Transformation

    Visual synthesis is one of the most fundamental problems in computer vision and artificial intelligence. Visual synthesis aims to create pixel-level data (e.g., images and videos) based on descriptions such as texts, noise, semantic annotations and images. Recently, deep generative learning has …

    uts Repository record for Learning for Visual Synthesis and Transformation (opens in a new tab)

  9. Image Based View Synthesis

    … a virtual scene using sparse images or a video sequence without the use of 3D models. In our scenario, a real dynamic or static scene is captured by a set of un-calibrated images from different viewpoints. After automatically recovering the geometric transformations between these images, a …

    ucf

  10. Reconstructing Visual Appearance and Process by Repurposing Pretrained Diffusion Models

    … tasks such as text-to-image or text-to-video synthesis, and are not directly suited to these partial-observation scenarios. Mismatches in input structure, supervision, and data availability make naive fine-tuning or prompt-based adaptation ineffective. This thesis addresses the central …

    washington Repository record for Reconstructing Visual Appearance and Process by Repurposing Pretrained Diffusion Models (opens in a new tab)