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Found 4 papers, 1 papers with code
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Steve-Eye integrates the LLM with a visual encoder which enables it to process visual-text inputs and generate multimodal feedback.
LLaMA Rider: Spurring Large Language Models to Explore the Open World
Recently, various studies have leveraged Large Language Models (LLMs) to help decision-making and planning in environments, and try to align the LLMs' knowledge with the world conditions.
Blind2Sound: Self-Supervised Image Denoising without Residual Noise
Self-supervised blind denoising for Poisson-Gaussian noise remains a challenging task.
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots
Self-supervised denoisers, which learn only from single noisy images, solve the data collection problem.
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