Simple generative model for panoptic segmentation

Paper Title:

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting

Published on:

18 January 2024

Primary Category:

Computer Vision and Pattern Recognition

Paper Authors:

Wouter Van Gansbeke,

Bert De Brabandere

Bullets

Key Details

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Proposes latent diffusion for panoptic segmentation

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Uses shallow autoencoder to compress masks

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Learns conditional diffusion process

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Enables mask completion capability

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Achieves promising panoptic segmentation results

Explore the topics in this paper

autoencoders

generative models

image segmentation

latent diffusion

panoptic segmentation

AI generated summary

Simple generative model for panoptic segmentation

This paper proposes a simple generative approach using latent diffusion models for panoptic segmentation. It trains a shallow autoencoder to compress segmentation masks into a latent space, then learns an image-conditioned diffusion process to generate masks. Key advantages are simplicity, generality, and enabling mask completion applications.