TBench: Benchmarking Current Progress in Text-to-3D Generation

Y He, Y Bai, M Lin, W Zhao, Y Hu, J Sheng, R Yi… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Recent methods in text-to-3D leverage powerful pretrained diffusion models to optimize
NeRF. Notably, these methods are able to produce high-quality 3D scenes without training …

Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation

Z Wang, C Lu, Y Wang, F Bao, C Li… - Advances in Neural …, 2023‏ - proceedings.neurips.cc
Score distillation sampling (SDS) has shown great promise in text-to-3D generation by
distilling pretrained large-scale text-to-image diffusion models, but suffers from over …

Wonder3d: Single image to 3d using cross-domain diffusion

X Long, YC Guo, C Lin, Y Liu, Z Dou… - Proceedings of the …, 2024‏ - openaccess.thecvf.com
In this work we introduce Wonder3D a novel method for generating high-fidelity textured
meshes from single-view images with remarkable efficiency. Recent methods based on the …

Mvdream: Multi-view diffusion for 3d generation

Y Shi, P Wang, J Ye, M Long, K Li, X Yang - arxiv preprint arxiv …, 2023‏ - arxiv.org
We introduce MVDream, a diffusion model that is able to generate consistent multi-view
images from a given text prompt. Learning from both 2D and 3D data, a multi-view diffusion …

Lgm: Large multi-view gaussian model for high-resolution 3d content creation

J Tang, Z Chen, X Chen, T Wang, G Zeng… - European Conference on …, 2024‏ - Springer
Abstract 3D content creation has achieved significant progress in terms of both quality and
speed. Although current feed-forward models can produce 3D objects in seconds, their …

Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models

H Ling, SW Kim, A Torralba… - Proceedings of the …, 2024‏ - openaccess.thecvf.com
Text-guided diffusion models have revolutionized image and video generation and have
also been successfully used for optimization-based 3D object synthesis. Here we instead …

Crm: Single image to 3d textured mesh with convolutional reconstruction model

Z Wang, Y Wang, Y Chen, C **ang, S Chen… - … on Computer Vision, 2024‏ - Springer
Feed-forward 3D generative models like the Large Reconstruction Model (LRM) have
demonstrated exceptional generation speed. However, the transformer-based methods do …

Syncdreamer: Generating multiview-consistent images from a single-view image

Y Liu, C Lin, Z Zeng, X Long, L Liu, T Komura… - arxiv preprint arxiv …, 2023‏ - arxiv.org
In this paper, we present a novel diffusion model called that generates multiview-consistent
images from a single-view image. Using pretrained large-scale 2D diffusion models, recent …

Imagedream: Image-prompt multi-view diffusion for 3d generation

P Wang, Y Shi - arxiv preprint arxiv:2312.02201, 2023‏ - arxiv.org
We introduce" ImageDream," an innovative image-prompt, multi-view diffusion model for 3D
object generation. ImageDream stands out for its ability to produce 3D models of higher …

Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

T Yi, J Fang, J Wang, G Wu, L **e… - Proceedings of the …, 2024‏ - openaccess.thecvf.com
In recent times the generation of 3D assets from text prompts has shown impressive results.
Both 2D and 3D diffusion models can help generate decent 3D objects based on prompts …