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Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability
19 February 2024
Xue-Qing Qian
Yu Wang
Simian Luo
Yinda Zhang
Ying Tai
Zhenyu Zhang
Chengjie Wang
Xiangyang Xue
Bo Zhao
Tiejun Huang
Yunsheng Wu
Yanwei Fu
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Papers citing
"Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability"
9 / 9 papers shown
Title
Learning Versatile 3D Shape Generation with Improved AR Models
Simian Luo
Xuelin Qian
Yanwei Fu
Yinda Zhang
Ying Tai
Zhenyu Zhang
Chengjie Wang
Xiangyang Xue
20
3
0
26 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
385
4,010
0
28 Jan 2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Xingguang Yan
Liqiang Lin
Niloy J. Mitra
Dani Lischinski
Daniel Cohen-Or
Hui Huang
ViT
56
110
0
25 Jan 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
172
711
0
02 Mar 2021
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
214
556
0
19 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
164
1,926
0
24 Oct 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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