1. Jonathan T Barron , Ben Mildenhall , Matthew Tancik , Peter Hedman , Ricardo Martin-Brualla , and Pratul P Srinivasan . 2021 . Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields . In IEEE/CVF ICCV. Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan. 2021. Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields. In IEEE/CVF ICCV.
2. Defang Chen , Jian-Ping Mei , Hailin Zhang , Can Wang , Yan Feng , and Chun Chen . 2022. Knowledge distillation with the reused teacher classifier . In IEEE/CVF CVPR. Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, and Chun Chen. 2022. Knowledge distillation with the reused teacher classifier. In IEEE/CVF CVPR.
3. Xinlei Chen , Hao Fang , Tsung-Yi Lin , Ramakrishna Vedantam , Saurabh Gupta , Pi-otr Dollár, and C Lawrence Zitnick . 2015. Microsoft coco captions: Data collection and evaluation server. arXiv preprint arXiv:1504.00325 ( 2015 ). Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Pi-otr Dollár, and C Lawrence Zitnick. 2015. Microsoft coco captions: Data collection and evaluation server. arXiv preprint arXiv:1504.00325 (2015).
4. Zhiqin Chen , Thomas Funkhouser , Peter Hedman , and Andrea Tagliasacchi . 2023 . Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures . In IEEE/CVF CVPR. Zhiqin Chen, Thomas Funkhouser, Peter Hedman, and Andrea Tagliasacchi. 2023. Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures. In IEEE/CVF CVPR.
5. Jun Gao , Tianchang Shen , Zian Wang , Wenzheng Chen , Kangxue Yin , Daiqing Li , Or Litany , Zan Gojcic , and Sanja Fidler . 2022. Get3d: A generative model of high quality 3d textured shapes learned from images. NeurIPS ( 2022 ). Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler. 2022. Get3d: A generative model of high quality 3d textured shapes learned from images. NeurIPS (2022).