Cover Image

3D-GPT: Procedural 3D Modeling with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Chunyi, Han, Junlin, Deng, Weijian, Wang, Xinlong, Qin, Zishan, Gould, Stephen
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Graphics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models
by: Han, Junlin, et al.
Published: (2024)

DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer
by: Li, Runjia, et al.
Published: (2024)

3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
by: Gao, Yipeng, et al.
Published: (2026)

XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
by: Ren, Xuanchi, et al.
Published: (2023)

LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias
by: Jin, Haian, et al.
Published: (2024)

Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor
by: Dagli, Rishit, et al.
Published: (2025)

Generating 3D models from sketches of human faces using a combined approach of Convolutional Neural Networks, Procedural Modeling, and Contour Mapping
by: Iskander, Nancy
Published: (2026)

Animus3D: Text-driven 3D Animation via Motion Score Distillation
by: Sun, Qi, et al.
Published: (2025)

SViM3D: Stable Video Material Diffusion for Single Image 3D Generation
by: Engelhardt, Andreas, et al.
Published: (2025)

Modeling Aesthetic Preferences in 3D Shapes: A Large-Scale Paired Comparison Study Across Object Categories
by: Dev, Kapil
Published: (2025)

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
by: Kalischek, Nikolai, et al.
Published: (2022)

LRM: Large Reconstruction Model for Single Image to 3D
by: Hong, Yicong, et al.
Published: (2023)

Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
by: Liu, Qingming, et al.
Published: (2025)

Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling
by: Sun, Qi, et al.
Published: (2026)

VoD-3DGS: View-opacity-Dependent 3D Gaussian Splatting
by: Nowak, Mateusz, et al.
Published: (2025)

PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
by: Hanson, Alex, et al.
Published: (2024)

Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models
by: Raji, Fadlullah, et al.
Published: (2026)

Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning
by: Sobol, Ido, et al.
Published: (2026)

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
by: Wang, Jiaxu, et al.
Published: (2024)

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
by: Wiedemann, Nina, et al.
Published: (2025)

MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
by: Zhu, Ruijie, et al.
Published: (2024)

StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion Transformer
by: Shu, Zhenyu, et al.
Published: (2025)

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion
by: Yan, Xingguang, et al.
Published: (2024)

Diverse Part Synthesis for 3D Shape Creation
by: Guan, Yanran, et al.
Published: (2024)

PG-3DGS: Optimizing 3D Gaussian Splatting to Satisfy Physics Objectives
by: Lee, Zachary, et al.
Published: (2026)

NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
by: Cui, Ruikai, et al.
Published: (2024)

Learn2Talk: 3D Talking Face Learns from 2D Talking Face
by: Zhuang, Yixiang, et al.
Published: (2024)

Ghost on the Shell: An Expressive Representation of General 3D Shapes
by: Liu, Zhen, et al.
Published: (2023)

HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis
by: Luo, Haimin, et al.
Published: (2026)

Patchwork: A compact representation for 3D polygonal shapes
by: Zheng, Ruichen, et al.
Published: (2026)

EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans
by: Garau, Nicola, et al.
Published: (2024)

LoST: Level of Semantics Tokenization for 3D Shapes
by: Dutt, Niladri Shekhar, et al.
Published: (2026)

DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion
by: Huang, Yukun, et al.
Published: (2024)

Thinking Like Van Gogh: Structure-Aware Style Transfer via Flow-Guided 3D Gaussian Splatting
by: Zhou, Lebin, et al.
Published: (2026)

GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning
by: Yuan, Ye, et al.
Published: (2023)

Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
by: Fan, Shen, et al.
Published: (2024)

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
by: Chen, Qimin, et al.
Published: (2024)

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
by: Gao, Gege, et al.
Published: (2023)

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
by: Huang, Yukun, et al.
Published: (2023)

AI-powered Contextual 3D Environment Generation: A Systematic Review
by: Silva, Miguel, et al.
Published: (2025)