Sep 26, 2024 · In this paper, we propose a novel and effective approach to reduce trajectory curvature by utilizing adaptive conditions.
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Nov 1, 2024 · We use two MLP layers to map the condition code to the same dimension as the time embedding and then add them together.
Abstract: The curvature of ODE trajectories in diffusion models hinders their ability to generate high-quality images in a few number of function ...
Sep 29, 2024 · The curvature of ODE trajectories in diffusion models hinders their ability to generate high-quality images in a few number of function ...
Sep 26, 2024 · The paper proposes a method called "Learning Quantized Adaptive Conditions" (LQAC) for improving the efficiency and performance of diffusion ...
In this paper, we propose a novel and effective approach to reduce trajectory curvature by utilizing adaptive conditions. By employing a extremely light-weight ...
This work explores the quantization [50, 8, 49, 7, 29] of the noise estimation model used in the diffusion model to accelerate the denoising of all time steps.
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Aug 8, 2024 · Post-training quantization of diffusion models can significantly reduce the model size and accelerate the sampling process without requiring any ...
These models formulate a Markov process to iteratively add random noise to images and then learn the reverse process to synthesis images by gradually removing ...
Our extensive experiments demonstrate substantial improvements in output quality with the quantized diffusion model across various datasets. 1 Introduction.
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