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Xiaomi MiLM Plus releases PROVE benchmark for video object removal

By PulseAugur Editorial · [2 sources] ·

Xiaomi's MiLM Plus has introduced PROVE, a new benchmark and set of metrics designed to evaluate video object removal models more effectively. Traditional metrics like PSNR and SSIM struggle with the inherently ill-posed nature of object removal, where multiple plausible outputs exist. PROVE utilizes two novel metrics, RC-S for spatial coherence and RC-T for temporal consistency, which operate locally within deep feature spaces and do not require a reference video. This system, accepted at ACM MM 2026, is available as an open-source PyTorch repository and is intended for use in model evaluation, CI gates, and data filtering. AI

IMPACT This new benchmark addresses limitations in evaluating object removal models, potentially leading to more accurate model development and deployment in areas like video editing and image cleanup.

RANK_REASON The cluster describes the release of a new benchmark and metrics for evaluating AI models, which falls under research.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Xiaomi MiLM Plus releases PROVE benchmark for video object removal

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The cluster describes the release of a new benchmark and metrics for evaluating AI models, which falls under research.
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COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Xiaomi’s MiLM Plus Releases PROVE: Perception-Aligned Object Removal Metrics RC-S and RC-T With a Real-World Video Benchmark

    <p>Object removal models have improved faster than the metrics used to judge them. Diffusion erasers now reconstruct shadows, reflections and occluded structure convincingly, yet PSNR, SSIM, LPIPS, ReMOVE and CFD frequently rank their outputs the wrong way. The root cause is stru…

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Xiaomi's MiLM Plus has released PROVE, a new perception-aligned benchmark for video object removal. The metrics RC-S and RC-T evaluate spatial coherence and tem

    Xiaomi's MiLM Plus has released PROVE, a new perception-aligned benchmark for video object removal. The metrics RC-S and RC-T evaluate spatial coherence and temporal consistency without requiring reference videos. Accepted at ACM MM 2026. https:// marktechpost.com/2026/08/11/xi a…

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