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Machine learning books and papers

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Solving Video Inverse Problems Using Image Diffusion Models

Deep Random Features for Scalable Interpolation of Spatiotemporal Data

Century: A Framework and Dataset for Evaluating Ethical Contextualisation of Sensitive Images

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion

A Decade’s Battle on Dataset Bias: Are We There Yet?

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

@Machine_learn

Solving Video Inverse Problems Using Image Diffusion Models

Recently, diffusion model-based inverse problem solvers (DIS) have emerged as state-of-the-art approaches for addressing inverse problems, including image super-resolution, deblurring, inpainting,...

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Create: 2025-06-05
Last Update: 2025-06-27 21:14:06

Good papers

Solving Video Inverse Problems Using Image Diffusion Models

Deep Random Features for Scalable Interpolation of Spatiotemporal Data

Century: A Framework and Dataset for Evaluating Ethical Contextualisation of Sensitive Images

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion

A Decade’s Battle on Dataset Bias: Are We There Yet?

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

@Machine_learn

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Date: 2025-06-27|

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