State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …
image observations is a long‐standing and actively researched area of computer vision and …
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 …
Generative novel view synthesis with 3d-aware diffusion models
We present a diffusion-based model for 3D-aware generative novel view synthesis from as
few as a single input image. Our model samples from the distribution of possible renderings …
few as a single input image. Our model samples from the distribution of possible renderings …
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 …
A survey on deep generative 3d-aware image synthesis
Recent years have seen remarkable progress in deep learning powered visual content
creation. This includes deep generative 3D-aware image synthesis, which produces high …
creation. This includes deep generative 3D-aware image synthesis, which produces high …
Dream3d: Zero-shot text-to-3d synthesis using 3d shape prior and text-to-image diffusion models
Recent CLIP-guided 3D optimization methods, such as DreamFields and PureCLIPNeRF,
have achieved impressive results in zero-shot text-to-3D synthesis. However, due to scratch …
have achieved impressive results in zero-shot text-to-3D synthesis. However, due to scratch …
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 …
Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation
Diffusion models currently achieve state-of-the-art performance for both conditional and
unconditional image generation. However, so far, image diffusion models do not support …
unconditional image generation. However, so far, image diffusion models do not support …