Linfusion: 1 gpu, 1 minute, 16k image
Modern diffusion models, particularly those utilizing a Transformer-based UNet for
denoising, rely heavily on self-attention operations to manage complex spatial relationships …
denoising, rely heavily on self-attention operations to manage complex spatial relationships …
Rectified diffusion: Straightness is not your need in rectified flow
Diffusion models have greatly improved visual generation but are hindered by slow
generation speed due to the computationally intensive nature of solving generative ODEs …
generation speed due to the computationally intensive nature of solving generative ODEs …
Osv: One step is enough for high-quality image to video generation
Video diffusion models have shown great potential in generating high-quality videos,
making them an increasingly popular focus. However, their inherent iterative nature leads to …
making them an increasingly popular focus. However, their inherent iterative nature leads to …
One-step diffusion policy: Fast visuomotor policies via diffusion distillation
Diffusion models, praised for their success in generative tasks, are increasingly being
applied to robotics, demonstrating exceptional performance in behavior cloning. However …
applied to robotics, demonstrating exceptional performance in behavior cloning. However …
Flow generator matching
In the realm of Artificial Intelligence Generated Content (AIGC), flow-matching models have
emerged as a powerhouse, achieving success due to their robust theoretical underpinnings …
emerged as a powerhouse, achieving success due to their robust theoretical underpinnings …
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation
Diffusion-based text-to-image generation models trained on extensive text-image pairs have
shown the capacity to generate photorealistic images consistent with textual descriptions …
shown the capacity to generate photorealistic images consistent with textual descriptions …
Nitrofusion: High-fidelity single-step diffusion through dynamic adversarial training
DY Chen, H Bandyopadhyay, K Zou… - arxiv preprint arxiv …, 2024 - arxiv.org
We introduce NitroFusion, a fundamentally different approach to single-step diffusion that
achieves high-quality generation through a dynamic adversarial framework. While one-step …
achieves high-quality generation through a dynamic adversarial framework. While one-step …
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
The machine learning community is increasingly recognizing the importance of fostering
trust and safety in modern generative AI (GenAI) models. We posit machine unlearning (MU) …
trust and safety in modern generative AI (GenAI) models. We posit machine unlearning (MU) …
Stable Consistency Tuning: Understanding and Improving Consistency Models
Diffusion models achieve superior generation quality but suffer from slow generation speed
due to the iterative nature of denoising. In contrast, consistency models, a new generative …
due to the iterative nature of denoising. In contrast, consistency models, a new generative …
Multi-student Diffusion Distillation for Better One-step Generators
Diffusion models achieve high-quality sample generation at the cost of a lengthy multistep
inference procedure. To overcome this, diffusion distillation techniques produce student …
inference procedure. To overcome this, diffusion distillation techniques produce student …