paper-with-me

Papers

DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model

2024-10-16 · Jingxiang Sun, Cheng Peng, Ruizhi Shao, Yuan-Chen Guo, Xiaochen Zhao, Yangguang Li, YanPei Cao, Bo Zhang, Yebin Liu

We introduce DreamCraft3D++, an extension of DreamCraft3D that enables efficient high-quality generation of complex 3D assets. DreamCraft3D++ inherits the multi-stage generation process of DreamCraft3D, but replaces the time-consuming geometry sculpting optimization with a feed-forward multi-plane based reconstruction model, speeding up the process by 1000x. For texture refinement, we propose a training-free IP-Adapter module that is conditioned on the enhanced multi-view images to enhance texture and geometry consistency, providing a 4x faster alternative to DreamCraft3D's DreamBooth fine-tuning. Experiments on diverse datasets demonstrate DreamCraft3D++'s ability to generate creative 3D assets with intricate geometry and realistic 360{\deg} textures, outperforming state-of-the-art image-to-3D methods in quality and speed. The full implementation will be open-sourced to enable new possibilities in 3D content creation.

📄 PDF Abstract BibTeX arXiv:2410.12928

Code (0)

등록된 구현이 없습니다.

Tasks

3D GenerationImage to 3D

Similar Papers 제목 키워드 기반

DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

2023-10-25 · Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang 외

We present DreamCraft3D, a hierarchical 3D content generation method that produces high-fidelity and coherent 3D objects. We tackle the problem by leveraging a 2D reference image to guide the stages of geometry sculpting…

3D Generation

DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft

2024-04-23 · Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius 외

Procedural Content Generation (PCG) algorithms enable the automatic generation of complex and diverse artifacts. However, they don't provide high-level control over the generated content and typically require domain expe…

Game DesignMinecraftNeRFtext-guided-generation+1

Hierarchical Automatic Power Plane Generation with Genetic Optimization and Multilayer Perceptron

2022-10-28 · Haiguang Liao, Vinay Patil, Xuliang Dong, Devika Shanbhag 외

We present an automatic multilayer power plane generation method to accelerate the design of printed circuit boards (PCB). In PCB design, while automatic solvers have been developed to predict important indicators such a…

Contour Detection

Hierarchical Space Partition for Surface Reconstruction

2026-06-03 · Minjie Tang, Xiangfei Li arxiv

Generating compact polygonal models from point clouds is a key problem in 3D vision and computer graphics. However, due to inherent limitations of LiDAR scanning (e.g. range constraints and occlusions), critical scene in…

Point Clouds

S3-SLAM: Sparse Tri-plane Encoding for Neural Implicit SLAM

2024-04-28 · Zhiyao Zhang, Yunzhou Zhang, Yanmin Wu, Bin Zhao 외

With the emergence of Neural Radiance Fields (NeRF), neural implicit representations have gained widespread applications across various domains, including simultaneous localization and mapping. However, current neural im…

NeRFSimultaneous Localization and Mapping