PIXART- : Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
In this paper, we introduce PixArt-\(\Sigma\), a Diffusion Transformer model (DiT) capable of
directly generating images at 4K resolution. PixArt-\(\Sigma\) represents a significant …
directly generating images at 4K resolution. PixArt-\(\Sigma\) represents a significant …
Fast high-resolution image synthesis with latent adversarial diffusion distillation
Diffusion models are the main driver of progress in image and video synthesis, but suffer
from slow inference speed. Distillation methods, like the recently introduced adversarial …
from slow inference speed. Distillation methods, like the recently introduced adversarial …
Distilling diffusion models into conditional gans
We propose a method to distill a complex multistep diffusion model into a single-step
conditional GAN student model, dramatically accelerating inference, while preserving image …
conditional GAN student model, dramatically accelerating inference, while preserving image …
Diffusion model-based video editing: A survey
The rapid development of diffusion models (DMs) has significantly advanced image and
video applications, making" what you want is what you see" a reality. Among these, video …
video applications, making" what you want is what you see" a reality. Among these, video …
Revisiting non-autoregressive transformers for efficient image synthesis
The field of image synthesis is currently flourishing due to the advancements in diffusion
models. While diffusion models have been successful their computational intensity has …
models. While diffusion models have been successful their computational intensity has …
Efficient diffusion models: A comprehensive survey from principles to practices
Z Ma, Y Zhang, G Jia, L Zhao, Y Ma, M Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …
models have sparked the interests of many researchers and steadily shown excellent …
Lazy diffusion transformer for interactive image editing
We introduce a novel diffusion transformer, LazyDiffusion, that generates partial image
updates efficiently. Our approach targets interactive image editing applications in which …
updates efficiently. Our approach targets interactive image editing applications in which …
UIEDP: Boosting underwater image enhancement with diffusion prior
Underwater image enhancement (UIE) aims to generate clear images from low-quality
underwater images. Due to the unavailability of clear reference images, researchers often …
underwater images. Due to the unavailability of clear reference images, researchers often …
Deep compression autoencoder for efficient high-resolution diffusion models
We present Deep Compression Autoencoder (DC-AE), a new family of autoencoder models
for accelerating high-resolution diffusion models. Existing autoencoder models have …
for accelerating high-resolution diffusion models. Existing autoencoder models have …
Turboedit: Instant text-based image editing
We address the challenges of precise image inversion and disentangled image editing in
the context of few-step diffusion models. We introduce an encoder based iterative inversion …
the context of few-step diffusion models. We introduce an encoder based iterative inversion …