Dilin Wang

Dilin Wang is a research scientist at Meta. Prior to joining Meta, Dilin earned his PhD from UT Austin, advised by Prof. Qiang Liu.

Dilin’s recent research focuses on developing algorithms that enable machines to better understand complex scenes as well as to generate content. In the meantime, he also places a strong emphasis on improving the efficiency of these algorithms for on-device settings.

Email: wdilin [at] meta.com

Google Scholar

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Selected Papers
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds
Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alex Schwing, Zhicheng Yan
CVPR 2025 Oral     Project page
UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping
Aashish Rai, Dilin Wangem, Mihir Jain, Nikolaos Sarafianos, Kefan Chen, Srinath Sridhar, Aayush Prakash
CVPR 2025     Project page
Steepest Descent Density Control for Compact 3D Gaussian Splatting
Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, qiang liu, Rakesh Ranjan
CVPR 2025
Large Inverse Rendering Model for Reconstruction of Shape, Materials and Realistic Radiance Field
Zhengqin Li, Dilin Wang, Ka chen, Zhaoyang Lv, Thu Nguyen-Phuoc, Milim Lee, Jia-Bin Huang, Lei Xiao, Yufeng Zhu, Carl S Marshall, Yuheng Ren, Richard Newcombe, Zhao Dong
CVPR 2025
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
AISTATS 2025
MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction
Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan
ECCV 2024     Project page
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
CVPR 2024
Fast Point Cloud Generation with Straight Flows
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
CVPR, 2023    arxiv / code
Nasvit: Neural architecture search for efficient vision transformers with gradient conflict aware supernet training
Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Vikas Chandra
ICLR, 2022    paper / code
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
ICML, 2021   (Long Talk 166/5513=3%)    arxiv / code
Variational inference with tail-adaptive f-divergence
Dilin Wang, Hao Liu, Qiang Liu
NeurIPS, 2018   (Oral Presentation 30/4856=0.6%)   arXiv
Stein variational gradient descent: A general purpose bayesian inference algorithm
Qiang Liu, Dilin Wang
NIPS, 2016    paper / code