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 …
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 …
Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Recent advances in 3D content creation mostly leverage optimization-based 3D generation
via score distillation sampling (SDS). Though promising results have been exhibited, these …
via score distillation sampling (SDS). Though promising results have been exhibited, these …
Text2room: Extracting textured 3d meshes from 2d text-to-image models
Abstract We present Text2Room, a method for generating room-scale textured 3D meshes
from a given text prompt as input. To this end, we leverage pre-trained 2D text-to-image …
from a given text prompt as input. To this end, we leverage pre-trained 2D text-to-image …
Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors
We present Magic123, a two-stage coarse-to-fine approach for high-quality, textured 3D
meshes generation from a single unposed image in the wild using both2D and 3D priors. In …
meshes generation from a single unposed image in the wild using both2D and 3D priors. In …
Econ: Explicit clothed humans optimized via normal integration
The combination of deep learning, artist-curated scans, and Implicit Functions (IF), is
enabling the creation of detailed, clothed, 3D humans from images. However, existing …
enabling the creation of detailed, clothed, 3D humans from images. However, existing …
Dreamavatar: Text-and-shape guided 3d human avatar generation via diffusion models
We present DreamAvatar a text-and-shape guided framework for generating high-quality 3D
human avatars with controllable poses. While encouraging results have been reported by …
human avatars with controllable poses. While encouraging results have been reported by …
Humangaussian: Text-driven 3d human generation with gaussian splatting
Realistic 3D human generation from text prompts is a desirable yet challenging task.
Existing methods optimize 3D representations like mesh or neural fields via score distillation …
Existing methods optimize 3D representations like mesh or neural fields via score distillation …
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is
often hampered by the limitations of existing digital tools, which demand extensive expertise …
often hampered by the limitations of existing digital tools, which demand extensive expertise …
Texfusion: Synthesizing 3d textures with text-guided image diffusion models
Abstract We present TexFusion (Texture Diffusion), a new method to synthesize textures for
given 3D geometries, using only large-scale text-guided image diffusion models. In contrast …
given 3D geometries, using only large-scale text-guided image diffusion models. In contrast …