| 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 | | 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 | |