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Found 5 papers, 2 papers with code
Mobile Video Diffusion
Video diffusion models have achieved impressive realism and controllability but are limited by high computational demands, restricting their use on mobile devices.
VaLID: Variable-Length Input Diffusion for Novel View Synthesis
This is because the source-view images and corresponding poses are processed separately and injected into the model at different stages.
ResQ: Residual Quantization for Video Perception
Furthermore, we extend our model to dynamically adjust the bit-width proportional to the amount of changes in the video.
Simple and Efficient Architectures for Semantic Segmentation
Though the state-of-the architectures for semantic segmentation, such as HRNet, demonstrate impressive accuracy, the complexity arising from their salient design choices hinders a range of model acceleration tools, and further they make use of operations that are inefficient on current hardware.
Delta Distillation for Efficient Video Processing
By extensive experiments on a wide range of architectures, including the most efficient ones, we demonstrate that delta distillation sets a new state of the art in terms of accuracy vs. efficiency trade-off for semantic segmentation and object detection in videos.
Ranked #2 on
Video Semantic Segmentation
on Cityscapes val
