# LG AI Research — Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models

- Company: LG AI Research (lgresearch.ai)
- Announced: 2024-10-11T00:00:00+00:00
- Category: research-paper
- Subject: EXAONE
- Source: https://www.lgresearch.ai/blog/view?seq=491
- Record: https://forck.live/items/4824-projection-regret-reducing-background-bias-for-novelty-detection-via-diffusion

LG AI Research introduces Projection Regret, a method for novelty detection using diffusion models that reduces background bias by measuring semantic distance between original and diffusion-edited images.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=491:

> This post will introduce the Projection Regret [1] study conducted by LG AI Research, and also take a look at other good studies related to score-based generative modelling and diffusion models.

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Record: https://forck.live/items/4824-projection-regret-reducing-background-bias-for-novelty-detection-via-diffusion
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md
