Recent advances in 3d gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
A survey on deep geometry learning: From a representation perspective
Researchers have achieved great success in dealing with 2D images using deep learning.
In recent years, 3D computer vision and geometry deep learning have gained ever more …
In recent years, 3D computer vision and geometry deep learning have gained ever more …
One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization
Single image 3D reconstruction is an important but challenging task that requires extensive
knowledge of our natural world. Many existing methods solve this problem by optimizing a …
knowledge of our natural world. Many existing methods solve this problem by optimizing a …
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 …
One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion
Recent advancements in open-world 3D object generation have been remarkable with
image-to-3D methods offering superior fine-grained control over their text-to-3D …
image-to-3D methods offering superior fine-grained control over their text-to-3D …
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 …
Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
We introduce DMTet, a deep 3D conditional generative model that can synthesize high-
resolution 3D shapes using simple user guides such as coarse voxels. It marries the merits …
resolution 3D shapes using simple user guides such as coarse voxels. It marries the merits …
Vectormapnet: End-to-end vectorized hd map learning
Autonomous driving systems require High-Definition (HD) semantic maps to navigate
around urban roads. Existing solutions approach the semantic mapping problem by offline …
around urban roads. Existing solutions approach the semantic mapping problem by offline …