Mar 3, 2023 · In this paper, we propose VPD (Visual Perception with a pre-trained Diffusion model), a new framework that exploits the semantic information of a pre-trained ...

Diffusion models (DMs) have become the new trend of generative models and have demonstrated a powerful abil- ity of conditional synthesis.

VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.

Diffusion models (DMs) have become the new trend of generative models and have demonstrated a powerful ability of conditional synthesis.

Duration: 9:44
Posted: May 19, 2024

Diffusion models (DMs) have become the new trend of generative models and have demonstrated a powerful abil- ity of conditional synthesis.

A new framework that exploits the semantic information of a pre-trained text-to-image diffusion model in visual perception tasks.

Extracting features with a vastly pre-trained diffusion model grants this approach strong robustness and generalizability. ... ... In a basic pipeline, the ...

Diffusion models (DMs) have become the new trend of generative models and have demonstrated a powerful ability of conditional synthesis.

May 19, 2024 · It proposes a way to use diffusion models as a backbone encoder for various visual perception tasks such as semantic segmentation and depth estimation.