3D object detection for autonomous driving: A comprehensive survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
Nerf: Neural radiance field in 3d vision, a comprehensive review
Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
Zero-1-to-3: Zero-shot one image to 3d object
Abstract We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an
object given just a single RGB image. To perform novel view synthesis in this …
object given just a single RGB image. To perform novel view synthesis in this …
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 …
Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation
Automatic 3D content creation has achieved rapid progress recently due to the availability of
pre-trained, large language models and image diffusion models, forming the emerging topic …
pre-trained, large language models and image diffusion models, forming the emerging topic …
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 …
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 …
Rodin: A generative model for sculpting 3d digital avatars using diffusion
This paper presents a 3D diffusion model that automatically generates 3D digital avatars
represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is …
represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is …
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 …
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 …