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Diffusion models in medical imaging: A comprehensive survey
Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
Diffusion models for medical image analysis: A comprehensive survey
Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
Shap-e: Generating conditional 3d implicit functions
H Jun, A Nichol - arxiv preprint arxiv:2305.02463, 2023 - arxiv.org
We present Shap-E, a conditional generative model for 3D assets. Unlike recent work on 3D
generative models which produce a single output representation, Shap-E directly generates …
generative models which produce a single output representation, Shap-E directly generates …
Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule
on the learned gradients, and back-propagate the score of a diffusion model through the …
on the learned gradients, and back-propagate the score of a diffusion model through the …
Magic3d: High-resolution text-to-3d content creation
Recently, DreamFusion demonstrated the utility of a pretrained text-to-image diffusion model
to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis …
to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis …
Latent-nerf for shape-guided generation of 3d shapes and textures
Text-guided image generation has progressed rapidly in recent years, inspiring major
breakthroughs in text-guided shape generation. Recently, it has been shown that using …
breakthroughs in text-guided shape generation. Recently, it has been shown that using …
Get3d: A generative model of high quality 3d textured shapes learned from images
As several industries are moving towards modeling massive 3D virtual worlds, the need for
content creation tools that can scale in terms of the quantity, quality, and diversity of 3D …
content creation tools that can scale in terms of the quantity, quality, and diversity of 3D …
Lion: Latent point diffusion models for 3d shape generation
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
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 …
Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation
Recent advances in modeling 3D objects mostly rely on synthetic datasets due to the lack of
large-scale real-scanned 3D databases. To facilitate the development of 3D perception …
large-scale real-scanned 3D databases. To facilitate the development of 3D perception …