3 papers
cs.CV2024
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…
cs.CV2024
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…
cs.CV2024
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…