Differentiable rendering: A survey
Deep neural networks (DNNs) have shown remarkable performance improvements on
vision-related tasks such as object detection or image segmentation. Despite their success …
vision-related tasks such as object detection or image segmentation. Despite their success …
Single image 3D object reconstruction based on deep learning: A review
K Fu, J Peng, Q He, H Zhang - Multimedia Tools and Applications, 2021 - Springer
The reconstruction of 3D object from a single image is an important task in the field of
computer vision. In recent years, 3D reconstruction of single image using deep learning …
computer vision. In recent years, 3D reconstruction of single image using deep learning …
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 …
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 …
Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
In recent years, neural implicit surface reconstruction methods have become popular for
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …
3d neural field generation using triplane diffusion
Diffusion models have emerged as the state-of-the-art for image generation, among other
tasks. Here, we present an efficient diffusion-based model for 3D-aware generation of neural …
tasks. Here, we present an efficient diffusion-based model for 3D-aware generation of neural …
Sdfusion: Multimodal 3d shape completion, reconstruction, and generation
In this work, we present a novel framework built to simplify 3D asset generation for amateur
users. To enable interactive generation, our method supports a variety of input modalities …
users. To enable interactive generation, our method supports a variety of input modalities …
Petr: Position embedding transformation for multi-view 3d object detection
In this paper, we develop position embedding transformation (PETR) for multi-view 3D
object detection. PETR encodes the position information of 3D coordinates into image …
object detection. PETR encodes the position information of 3D coordinates into image …
[HTML][HTML] 3DFlex: determining structure and motion of flexible proteins from cryo-EM
Modeling flexible macromolecules is one of the foremost challenges in single-particle
cryogenic-electron microscopy (cryo-EM), with the potential to illuminate fundamental …
cryogenic-electron microscopy (cryo-EM), with the potential to illuminate fundamental …