"3d object generation" Papers
11 papers found
Conference
DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation
Xiaoliang Ju, Hongsheng Li
CVPR 2025arXiv:2503.06900
1
citations
Efficient Part-level 3D Object Generation via Dual Volume Packing
Jiaxiang Tang, Ruijie Lu, Max Li et al.
NEURIPS 2025arXiv:2506.09980
17
citations
FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting
Fangyu Wu, Yuhao Chen
CVPR 2025arXiv:2411.12089
4
citations
GSV3D: Gaussian Splatting-based Geometric Distillation with Stable Video Diffusion for Single-Image 3D Object Generation
Ye Tao, jiawei zhang, Yahao Shi et al.
ICCV 2025arXiv:2503.06136
1
citations
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model
Yiyang Shen, Kun Zhou, He Wang et al.
CVPR 2025highlightarXiv:2504.01512
Identity-preserving Distillation Sampling by Fixed-Point Iterator
SeonHwa Kim, Jiwon Kim, Soobin Park et al.
CVPR 2025arXiv:2502.19930
1
citations
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Bohan Zeng, Shanglin Li, Yutang Feng et al.
ICLR 2025arXiv:2310.05375
8
citations
Orientation Matters: Making 3D Generative Models Orientation-Aligned
Yichong Lu, Yuzhuo Tian, Zijin Jiang et al.
NEURIPS 2025arXiv:2506.08640
7
citations
SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE
YONGWEI CHEN, Yushi Lan, Shangchen Zhou et al.
CVPR 2025arXiv:2411.16856
23
citations
DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
Yunhan Yang, Yukun Huang, Xiaoyang Wu et al.
CVPR 2024arXiv:2312.03611
19
citations
GPT4Point: A Unified Framework for Point-Language Understanding and Generation
Zhangyang Qi, Ye Fang, Zeyi Sun et al.
CVPR 2024highlightarXiv:2312.02980
64
citations