Extending *Transformer layers as Painters* to DiT's
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Naga Sai Abhinay Devarinti
NagaSaiAbhinay
AI & ML interests
Diffusion Models, NLP, LLM's
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Collection of papers that I find important for diffusion models
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Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 14 -
Step-by-Step Diffusion: An Elementary Tutorial
Paper • 2406.08929 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 3 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 3
Papers on solving Imaging as Inverse problems using diffusion priors.
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Improving Diffusion Models for Inverse Problems using Manifold Constraints
Paper • 2206.00941 • Published • 1 -
Diffusion Posterior Sampling for General Noisy Inverse Problems
Paper • 2209.14687 • Published • 1 -
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Paper • 2307.00619 • Published • 1 -
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
Paper • 2406.08070 • Published • 1
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models
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datasets
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NagaSaiAbhinay/latents
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NagaSaiAbhinay/XTTS_test
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NagaSaiAbhinay/whisperkit_tests
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NagaSaiAbhinay/unicontrol-tests
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NagaSaiAbhinay/UnCLIPImageInterpolationSamples
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NagaSaiAbhinay/UnCLIPTextInterpolationSamples
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NagaSaiAbhinay/CheckpointMergerSamples
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