Search Results for author: Xiaohui Zeng

Found 11 papers, 5 papers with code

LION: Latent Point Diffusion Models for 3D Shape Generation

2 code implementations12 Oct 2022 Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis

To advance 3D DDMs and make them useful for digital artists, we require (i) high generation quality, (ii) flexibility for manipulation and applications such as conditional synthesis and shape interpolation, and (iii) the ability to output smooth surfaces or meshes.

3D Shape Generation Denoising +2

Magic3D: High-Resolution Text-to-3D Content Creation

1 code implementation CVPR 2023 Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin

DreamFusion has recently demonstrated the utility of a pre-trained text-to-image diffusion model to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis results.

Text to 3D Vocal Bursts Intensity Prediction

Scene Graph Parsing as Dependency Parsing

2 code implementations NAACL 2018 Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan Yuille

The scene graphs generated by our learned neural dependency parser achieve an F-score similarity of 49. 67% to ground truth graphs on our evaluation set, surpassing best previous approaches by 5%.

Dependency Parsing Image Retrieval +2

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation

1 code implementation25 Jun 2021 Xiaohui Zeng, Raquel Urtasun, Richard Zemel, Sanja Fidler, Renjie Liao

1) We propose a non-parametric prior distribution over the appearance of image parts so that the latent variable ``what-to-draw'' per step becomes a categorical random variable.

Image Generation

Adversarial Attacks Beyond the Image Space

no code implementations CVPR 2019 Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi Keung Tang, Alan L. Yuille

Though image-space adversaries can be interpreted as per-pixel albedo change, we verify that they cannot be well explained along these physically meaningful dimensions, which often have a non-local effect.

Question Answering Visual Question Answering

ScribbleBox: Interactive Annotation Framework for Video Object Segmentation

no code implementations ECCV 2020 Bo-Wen Chen, Huan Ling, Xiaohui Zeng, Gao Jun, Ziyue Xu, Sanja Fidler

Our approach tolerates a modest amount of noise in the box placements, thus typically only a few clicks are needed to annotate tracked boxes to a sufficient accuracy.

Object Segmentation +3

Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention

no code implementations5 Jul 2022 Gary Leung, Jun Gao, Xiaohui Zeng, Sanja Fidler

HILA extends hierarchical vision transformer architectures by adding local connections between features of higher and lower levels to the backbone encoder.

Object Semantic Segmentation

ATT3D: Amortized Text-to-3D Object Synthesis

no code implementations ICCV 2023 Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas

Text-to-3D modelling has seen exciting progress by combining generative text-to-image models with image-to-3D methods like Neural Radiance Fields.

Image to 3D Object +1

XCube ($\mathcal{X}^3$): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies

no code implementations6 Dec 2023 Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams

In addition to unconditional generation, we show that our model can be used to solve a variety of tasks such as user-guided editing, scene completion from a single scan, and text-to-3D.

3D Shape Generation Scene Generation +1

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis

no code implementations22 Mar 2024 Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

Recent text-to-3D generation approaches produce impressive 3D results but require time-consuming optimization that can take up to an hour per prompt.

Text to 3D

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