Wang, Dilin

32 publications

ICCV 2025 3D Mesh Editing Using Masked LRMs Will Gao, Dilin Wang, Yuchen Fan, Aljaz Bozic, Tuur Stuyck, Zhengqin Li, Zhao Dong, Rakesh Ranjan, Nikolaos Sarafianos

NeurIPS 2025 AutoPartGen: Autoregressive 3D Part Generation and Discovery Minghao Chen, Jianyuan Wang, Roman Shapovalov, Tom Monnier, Hyunyoung Jung, Dilin Wang, Rakesh Ranjan, Iro Laina, Andrea Vedaldi

NeurIPS 2025 DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling Kairun Wen, Yuzhihuang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan

CVPR 2025 LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-Dependent Radiance Fields 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 MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views in 2 Seconds Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander Schwing, Zhicheng Yan

CVPR 2025 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

AISTATS 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

CVPR 2025 UVGS: Reimagining Unstructured 3D Gaussian Splatting Using UV Mapping Aashish Rai, Dilin Wang, Mihir Jain, Nikolaos Sarafianos, Kefan Chen, Srinath Sridhar, Aayush Prakash

CVPR 2024 EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest Iandola, Raghuraman Krishnamoorthi, Vikas Chandra

ECCV 2024 MVDiffHD: 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 POCA: Post-Training Quantization with Temporal Alignment for Codec Avatars Jian Meng, Yuecheng Li, Leo Li, Syed Shakib Sarwar, Dilin Wang, Jae-sun Seo

ICML 2024 Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All at Once Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang

CVPR 2024 Taming Mode Collapse in Score Distillation for Text-to-3D Generation Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

CVPR 2023 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

WACV 2023 Temporally Consistent Online Depth Estimation in Dynamic Scenes Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath

CVPR 2022 Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan

ICLR 2022 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, Qiang Liu, Vikas Chandra

CVPR 2021 AlphaMatch: Improving Consistency for Semi-Supervised Learning with Alpha-Divergence Chengyue Gong, Dilin Wang, Qiang Liu

ICML 2021 AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra

CVPR 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra

CVPR 2021 KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

ICLR 2020 Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu

ICML 2019 Improving Neural Language Modeling via Adversarial Training Dilin Wang, Chengyue Gong, Qiang Liu

ICML 2019 Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models Dilin Wang, Qiang Liu

NeurIPS 2019 Splitting Steepest Descent for Growing Neural Architectures Lemeng Wu, Dilin Wang, Qiang Liu

NeurIPS 2019 Stein Variational Gradient Descent with Matrix-Valued Kernels Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu

NeurIPS 2018 Stein Variational Gradient Descent as Moment Matching Qiang Liu, Dilin Wang

ICML 2018 Stein Variational Message Passing for Continuous Graphical Models Dilin Wang, Zhe Zeng, Qiang Liu

NeurIPS 2018 Variational Inference with Tail-Adaptive F-Divergence Dilin Wang, Hao Liu, Qiang Liu

UAI 2017 Learning to Draw Samples with Amortized Stein Variational Gradient Descent Yihao Feng, Dilin Wang, Qiang Liu

UAI 2016 Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds Dilin Wang, John W. Fisher Iii, Qiang Liu

NeurIPS 2016 Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu, Dilin Wang