MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance | Paper Citation Record

Observation 9a62cc9a-6b39-4284-85f4-30b97bbdec50 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance On the Opportunities and Risks of Foundation Models

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This paper cites Language models are few-shot learners.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Language models are few-shot learners

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This paper cites Denoising diffusion probabilistic models.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Denoising diffusion probabilistic models

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Denoising diffusion implicit models

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This paper cites High-resolution image synthesis with latent diffusion models.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance High-resolution image synthesis with latent diffusion models

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This paper cites Diffusion models beat gans on image synthesis.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Diffusion models beat gans on image synthesis

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Observation b032decf-f1b1-4ea7-b3fd-78132c61c124 · outbound

This paper cites Classifier-Free Diffusion Guidance.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Classifier-Free Diffusion Guidance

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This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Dreamfusion: Text-to-3d using 2d diffusion

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Observation c59122a4-5c4e-40e7-8727-32a24a2f9eca · outbound

This paper cites A kernel two-sample test.The journal of machine learning research, 13(1):723–773, 2012.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance A kernel two-sample test.The journal of machine learning research, 13(1):723–773, 2012

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Observation db192d42-8180-4abb-83da-470965e09964 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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This paper cites Classifier-free Guidance with Adaptive Scaling.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Classifier-free Guidance with Adaptive Scaling

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This paper cites CFG++: Manifold- constrained classifier free guidance for diffusion models.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance CFG++: Manifold- constrained classifier free guidance for diffusion models

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This paper cites Tenenbaum.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Tenenbaum

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This paper cites Prompt- to-prompt image editing with cross-attention control.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Prompt- to-prompt image editing with cross-attention control

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This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance SDEdit: Guided image synthesis and editing with stochastic differential equations

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This paper cites Diffusionclip: Text-guided diffusion models for robust image manipulation.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Diffusionclip: Text-guided diffusion models for robust image manipulation

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This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Glide: Towards photorealistic image generation and editing with text-guided diffusion models

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This paper cites More control for free! image synthesis with semantic diffusion guidance.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance More control for free! image synthesis with semantic diffusion guidance

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This paper cites T2I-Adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance T2I-Adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

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This paper cites Adding conditional control to text-to-image diffusion models.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Adding conditional control to text-to-image diffusion models

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This paper cites Human motion diffusion model.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Human motion diffusion model

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This paper cites Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations.Advances in Neural Information Processing Systems, 35:3609–3623, 2022.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations.Advances in Neural Information Processing Systems, 35:3609–3623, 2022

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This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Manifold preserving guided diffusion

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Universal guidance for diffusion models

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Freedom: Training-free energy-guided conditional diffusion model

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This paper cites Tfg: Unified training-free guidance for diffusion models.Advances in Neural Information Processing Systems, 37:22370–22417, 2024.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Tfg: Unified training-free guidance for diffusion models.Advances in Neural Information Processing Systems, 37:22370–22417, 2024

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This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Adding conditional control to text-to-image diffusion models

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Domain guidance: A simple transfer approach for a pre-trained diffusion model

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Unresolved cited work

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Unresolved cited work

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance MMD GAN: Towards deeper understanding of moment matching network

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Sutherland, Michael Arbel, and Arthur Gretton

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Learn to guide your diffusion model, 2025

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance On the empirical estimation of integral probability metrics.Electronic Journal of Statistics, 6:1550–1599, 2012

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Sharp asymptotic and finite-sample rates of convergence of empirical measures in wasserstein distance.Bernoulli, 25(4A):2620–2648, 2019

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Johnson–lindenstrauss embeddings with kronecker structure.SIAM Journal on Matrix Analysis and Applications, 43(4):1806–1850, 2022

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Fusing cross-modal and uni-modal representations: A kronecker product approach

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Reliable fidelity and diversity metrics for generative models

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance An information-theoretic evaluation of generative models in learning multi-modal distributions.Advances in Neural Information Processing Systems, 36:9931–9943, 2023

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance DINOv2: Learning Robust Visual Features without Supervision

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models.Advances in Neural Information Processing Systems, 36:3732–3784, 2023

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance A style-based generator architecture for generative adversarial networks

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Progressive Growing of GANs for Improved Quality, Stability, and Variation

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Efficient and principled score estimation with nyström kernel exponential families

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Rethinking the inception architecture for computer vision

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Consistent diffusion models: Mitigating sampling drift by learning to be consistent.Advances in Neural Information Processing Systems, 36:42038–42063, 2023

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MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Measuring Style Similarity in Diffusion Models

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