Diffusion models in vision: A survey

FA Croitoru, V Hondru, RT Ionescu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Denoising diffusion models represent a recent emerging topic in computer vision,
demonstrating remarkable results in the area of generative modeling. A diffusion model is a …

Diffusion models: A comprehensive survey of methods and applications

L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao… - ACM Computing …, 2023 - dl.acm.org
Diffusion models have emerged as a powerful new family of deep generative models with
record-breaking performance in many applications, including image synthesis, video …

Perceiver-actor: A multi-task transformer for robotic manipulation

M Shridhar, L Manuelli, D Fox - Conference on Robot …, 2023 - proceedings.mlr.press
Transformers have revolutionized vision and natural language processing with their ability to
scale with large datasets. But in robotic manipulation, data is both limited and expensive …

Self-supervised learning from images with a joint-embedding predictive architecture

M Assran, Q Duval, I Misra… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper demonstrates an approach for learning highly semantic image representations
without relying on hand-crafted data-augmentations. We introduce the Image-based Joint …

Compositional visual generation with composable diffusion models

N Liu, S Li, Y Du, A Torralba, JB Tenenbaum - European Conference on …, 2022 - Springer
Large text-guided diffusion models, such as DALLE-2, are able to generate stunning
photorealistic images given natural language descriptions. While such models are highly …

Planning with diffusion for flexible behavior synthesis

M Janner, Y Du, JB Tenenbaum, S Levine - arXiv preprint arXiv …, 2022 - arxiv.org
Model-based reinforcement learning methods often use learning only for the purpose of
estimating an approximate dynamics model, offloading the rest of the decision-making work …

Diffusion policy: Visuomotor policy learning via action diffusion

C Chi, S Feng, Y Du, Z Xu, E Cousineau… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper introduces Diffusion Policy, a new way of generating robot behavior by
representing a robot's visuomotor policy as a conditional denoising diffusion process. We …

Diffusion models for adversarial purification

W Nie, B Guo, Y Huang, C Xiao, A Vahdat… - arXiv preprint arXiv …, 2022 - arxiv.org
Adversarial purification refers to a class of defense methods that remove adversarial
perturbations using a generative model. These methods do not make assumptions on the …

Your diffusion model is secretly a zero-shot classifier

AC Li, M Prabhudesai, S Duggal… - Proceedings of the …, 2023 - openaccess.thecvf.com
The recent wave of large-scale text-to-image diffusion models has dramatically increased
our text-based image generation abilities. These models can generate realistic images for a …

A survey on generative diffusion models

H Cao, C Tan, Z Gao, Y Xu, G Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deep generative models have unlocked another profound realm of human creativity. By
capturing and generalizing patterns within data, we have entered the epoch of all …