Diffusion - Moozonian

Moo-Ai is analyzing data for 'Diffusion'...

http://arxiv.org/abs/2404.04833v2

ShoeModel: Learning to Wear on the User-specified Shoes via Diffu...

With the development of the large-scale diffusion model, Artificial Intelligence Generated Content (AIGC) techniques are popular recently. However, how to truly make it serve our daily lives remains a...

https://en.wikipedia.org/wiki/Dye-sublimation_printing

Dye-sublimation printing - Wikipedia

this technology survives in ID card printers and dedicated photo printers, often under the name dye diffusion thermal transfer (D2T2). The term was later

https://www.bing.com/ck/a?!&&p=437939dfa8ac9a61968e01351a793d85576cd561ae55601cae73fff1fefb707bJmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=13614920-dc4d-666d-2cb1-5e34ddce67f5&u=a1aHR0cHM6Ly9wcm9ncmFtbWV0di5vdWVzdC1mcmFuY2UuZnIvZGl2ZXJzL3RlbGVyZWFsaXRlL3N0YXItYWNhZGVteS1tMjMyODk2NzAxLw&ntb=1

Star Academy : Épisodes, casting et diffusions

[Programme TV Ouest-France] Star Academy, Téléréalité : dates de diffusion des épisodes, le casting et des actualités exclusives sur la série.

http://arxiv.org/abs/2602.05605v1

Shiva-DiT: Residual-Based Differentiable Top-$k$ Selection for Ef...

Diffusion Transformers (DiTs) incur prohibitive computational costs due to the quadratic scaling of self-attention. Existing pruning methods fail to simultaneously satisfy differentiability, efficienc...

http://arxiv.org/abs/2401.11430v1

Exploring Diffusion Time-steps for Unsupervised Representation Le...

Representation learning is all about discovering the hidden modular attributes that generate the data faithfully. We explore the potential of Denoising Diffusion Probabilistic Model (DM) in unsupervis...

http://arxiv.org/abs/2111.08068v2

Anisotropic and isotropic persistent singularities of solutions o...

The aim of this paper is to study a class of positive solutions of the fast diffusion equation with specific persistent singular behavior. First, we construct new types of solutions with anisotropic s...

http://arxiv.org/abs/2409.09896v1

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion

3D reconstruction from a single image is a long-standing problem in computer vision. Learning-based methods address its inherent scale ambiguity by leveraging increasingly large labeled and unlabeled ...

http://arxiv.org/abs/2505.10950v1

Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless a...

Data steganography aims to conceal information within visual content, yet existing spatial- and frequency-domain approaches suffer from trade-offs between security, capacity, and perceptual quality. R...

http://arxiv.org/abs/2510.01404v1

How Well do Diffusion Policies Learn Kinematic Constraint Manifol...

Diffusion policies have shown impressive results in robot imitation learning, even for tasks that require satisfaction of kinematic equality constraints. However, task performance alone is not a relia...

https://www.bing.com/ck/a?!&&p=72c41c9a153f12dfcb48b404883132292cd999aff8b26f66210fe8cdeb8d3661JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=093b8003-5f63-6220-33a4-97105efb6388&u=a1aHR0cHM6Ly93d3cucmVkZGl0LmNvbS9yL1N0YWJsZURpZmZ1c2lvbi9jb21tZW50cy8xOHo1bG5qL2hvd190b191c2VfdGhlX3Rlcm1fYnJlYWtfaW5fcHJvbXB0cy8&ntb=1

How to use the term BREAK in prompts? : r/StableDiffusion - Reddi...

Break is exclusive to automatic1111 I believe. It starts a new conditioning that gets appended to the others. Essentially if you have one break its like giving two prompts at the same time.

http://arxiv.org/abs/2407.13752v1

LogoSticker: Inserting Logos into Diffusion Models for Customized...

Recent advances in text-to-image model customization have underscored the importance of integrating new concepts with a few examples. Yet, these progresses are largely confined to widely recognized su...

http://arxiv.org/abs/2311.15435v1

Functional Diffusion

We propose a new class of generative diffusion models, called functional diffusion. In contrast to previous work, functional diffusion works on samples that are represented by functions with a continu...

http://arxiv.org/abs/2210.05475v1

GENIE: Higher-Order Denoising Diffusion Solvers

Denoising diffusion models (DDMs) have emerged as a powerful class of generative models. A forward diffusion process slowly perturbs the data, while a deep model learns to gradually denoise. Synthesis...

https://github.com/alembics/disco-diffusion

alembics/disco-diffusion

No description (⭐ 7425)

https://nathan.rs/posts/roberta-diffusion/

BERT is just a single text diffusion step

Points: 455 | Comments: 110 | Author: nathan-barry

https://github.com/anahitmehrabyan-commits/Homework-1-Marketing-Analytics

anahitmehrabyan-commits/Homework-1-Marketing-Analytics

Bass Diffusion Modeling for Airpods Pro 3 Innovation (⭐ 0)

http://arxiv.org/abs/2310.19415v2

Text-to-3D with Classifier Score Distillation

Text-to-3D generation has made remarkable progress recently, particularly with methods based on Score Distillation Sampling (SDS) that leverages pre-trained 2D diffusion models. While the usage of cla...

http://arxiv.org/abs/2305.08891v4

Common Diffusion Noise Schedules and Sample Steps are Flawed

We discover that common diffusion noise schedules do not enforce the last timestep to have zero signal-to-noise ratio (SNR), and some implementations of diffusion samplers do not start from the last t...

http://arxiv.org/abs/2601.19795v1

Diffusion for De-Occlusion: Accessory-Aware Diffusion Inpainting ...

Ear occlusions (arising from the presence of ear accessories such as earrings and earphones) can negatively impact performance in ear-based biometric recognition systems, especially in unconstrained i...

http://arxiv.org/abs/2205.02771v1

Finding Bipartite Components in Hypergraphs

Hypergraphs are important objects to model ternary or higher-order relations of objects, and have a number of applications in analysing many complex datasets occurring in practice. In this work we stu...