A comprehensive survey on segment anything model for vision and beyond
Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …
On distillation of guided diffusion models
Classifier-free guided diffusion models have recently been shown to be highly effective at
high-resolution image generation, and they have been widely used in large-scale diffusion …
high-resolution image generation, and they have been widely used in large-scale diffusion …
Paint by example: Exemplar-based image editing with diffusion models
Abstract Language-guided image editing has achieved great success recently. In this paper,
we investigate exemplar-guided image editing for more precise control. We achieve this …
we investigate exemplar-guided image editing for more precise control. We achieve this …
Decomposing nerf for editing via feature field distillation
S Kobayashi, E Matsumoto… - Advances in Neural …, 2022 - proceedings.neurips.cc
Emerging neural radiance fields (NeRF) are a promising scene representation for computer
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …
Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models
Large-scale multimodal generative modeling has created milestones in text-to-image and
text-to-video generation. Its application to audio still lags behind for two main reasons: the …
text-to-video generation. Its application to audio still lags behind for two main reasons: the …
Improving diffusion models for inverse problems using manifold constraints
Recently, diffusion models have been used to solve various inverse problems in an
unsupervised manner with appropriate modifications to the sampling process. However, the …
unsupervised manner with appropriate modifications to the sampling process. However, the …
Repaint: Inpainting using denoising diffusion probabilistic models
Free-form inpainting is the task of adding new content to an image in the regions specified
by an arbitrary binary mask. Most existing approaches train for a certain distribution of …
by an arbitrary binary mask. Most existing approaches train for a certain distribution of …
Diffrf: Rendering-guided 3d radiance field diffusion
We introduce DiffRF, a novel approach for 3D radiance field synthesis based on denoising
diffusion probabilistic models. While existing diffusion-based methods operate on images …
diffusion probabilistic models. While existing diffusion-based methods operate on images …
High-resolution image synthesis with latent diffusion models
R Rombach, A Blattmann, D Lorenz… - Proceedings of the …, 2022 - openaccess.thecvf.com
By decomposing the image formation process into a sequential application of denoising
autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image …
autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image …
Mat: Mask-aware transformer for large hole image inpainting
Recent studies have shown the importance of modeling long-range interactions in the
inpainting problem. To achieve this goal, existing approaches exploit either standalone …
inpainting problem. To achieve this goal, existing approaches exploit either standalone …