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Video Decomposition Prior: A Methodology to Decompose Videos into Layers
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
In the evolving landscape of video enhancement and editing methodologies, a majority of deep learning techniques often rely on extensive datasets of observed input and ground truth…
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction
Gaurav Shrivastava, Abhinav Shrivastava
Diffusion models have made significant strides in image generation, mastering tasks such as unconditional image synthesis, text-image translation, and image-to-image conversions. H…
Efficient Continuous Video Flow Model for Video Prediction
Gaurav Shrivastava, Abhinav Shrivastava
Multi-step prediction models, such as diffusion and rectified flow models, have emerged as state-of-the-art solutions for generation tasks. However, these models exhibit higher lat…
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
In this paper, we present a novel robust framework for low-level vision tasks, including denoising, object removal, frame interpolation, and super-resolution, that does not require…