Fetching the paper…
Reading the bibliography…
Colorization is a well-explored problem in the domains of image and video processing.
Deep colorization
Zezhou Cheng, Qingxiong Yang, and Bin Sheng · 2015
Earlier work this paper cites.
Learning large-scale automatic image colorization
Aditya Deshpande, Jason Rock, and David Forsyth · 2015
Earlier work this paper cites.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
Earlier work this paper cites.
Let there be color! joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2016
Earlier work this paper cites.
Learning representations for automatic colorization
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
Earlier work this paper cites.
Learning diverse image colorization
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, and David Forsyth · 2017
Earlier work this paper cites.
Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
Earlier work this paper cites.
Real-time user-guided image colorization with learned deep priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S Lin, Tianhe Yu, and Alexei A Efros · 2017
Earlier work this paper cites.
Learning blind video temporal consistency
Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, and Ming-Hsuan Yang · 2018
Earlier work this paper cites.
Structural consistency and controllability for diverse colorization
Safa Messaoud, David Forsyth, and Alexander G Schwing · 2018
Earlier work this paper cites.
Simone Meyer, Victor Cornillère, Abdelaziz Djelouah, Christopher Schroers, and Markus Gross · 2018
Earlier work this paper cites.
Tracking emerges by colorizing videos
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, and Kevin Murphy · 2018
Earlier work this paper cites.
Kdgan: Knowledge distillation with generative adversarial networks
Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi · 2018
Earlier work this paper cites.
Knowledge transfer via distillation of activation boundaries formed by hidden neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun, and Jin Young Choi · 2019
Earlier work this paper cites.
Deepremaster: temporal source-reference attention networks for comprehensive video enhancement
Satoshi Iizuka and Edgar Simo-Serra · 2019
Earlier work this paper cites.
Fully automatic video colorization with self-regularization and diversity
Chenyang Lei and Qifeng Chen · 2019
Earlier work this paper cites.
Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar · 2019
Earlier work this paper cites.
Deep exemplar-based video colorization
Bo Zhang, Mingming He, Jing Liao, Pedro V Sander, Lu Yuan, Amine Bermak, and Dong Chen · 2019
Earlier work this paper cites.
Knowledge distillation from internal representations
Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Yao, Xing Fan, and Chenlei Guo · 2020
Cited alongside, same era.
Instance-aware image colorization
Jheng-Wei Su, Hung-Kuo Chu, and Jia-Bin Huang · 2020
Cited alongside, same era.
Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
Cited alongside, same era.
Chromagan: Adversarial picture colorization with semantic class distribution
Patricia Vitoria, Lara Raad, and Coloma Ballester · 2020
Cited alongside, same era.
Pixelated semantic colorization
Jiaojiao Zhao, Jungong Han, Ling Shao, and Cees GM Snoek · 2020
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
Cited alongside, same era.
Bringing old films back to life
Ziyu Wan, Bo Zhang, Dongdong Chen, and Jing Liao · 2022
Later among the works it cites.
Arf: Artistic radiance fields
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, and Noah Snavely · 2022
Later among the works it cites.
Zip-nerf: Anti-aliased grid-based neural radiance fields supplemental material
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2023
Closest in time.
Mesh2tex: Generating mesh textures from image queries
Alexey Bokhovkin, Shubham Tulsiani, and Angela Dai · 2023
Closest in time.
Strata-nerf: Neural radiance fields for stratified scenes
Ankit Dhiman, R Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R Boregowda, Srinath Sridhar, and R Venkatesh Babu · 2023
Closest in time.
Ddcolor: Towards photo-realistic image colorization via dual decoders
Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, and Xuansong Xie · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Nerfies: Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Steven M Seitz, and Ricardo Martin-Brualla · 2021
Cited alongside, same era.
Point2color: 3d point cloud colorization using a conditional generative network and differentiable rendering for airborne lidar
Takayuki Shinohara, Haoyi Xiu, and Masashi Matsuoka · 2021
Cited alongside, same era.
Nex: Real-time view synthesis with neural basis expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn · 2021
Cited alongside, same era.
Towards vivid and diverse image colorization with generative color prior
Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, and Ying Shan · 2021
Cited alongside, same era.
Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
Cited alongside, same era.
Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
Cited alongside, same era.
Closest in time.
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Closest in time.
Robust dynamic radiance fields
Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, and Jia-Bin Huang · 2023
Closest in time.
Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng · 2023
Closest in time.
Sketch and text guided diffusion model for colored point cloud generation
Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, and Ajmal Mian · 2023
Closest in time.
Nerf-det: Learning geometry-aware volumetric representation for multi-view 3d object detection
Chenfeng Xu, Bichen Wu, Ji Hou, Sam Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, et al · 2023
Closest in time.
Texture generation on 3d meshes with point-uv diffusion
Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, and Xiaojuan Qi · 2023
Closest in time.
Diffusing colors: Image colorization with text guided diffusion
Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, and Ohad Fried · 2023
Closest in time.
Ref-npr: Reference-based non-photorealistic radiance fields for controllable scene stylization
Yuechen Zhang, Zexin He, Jinbo Xing, Xufeng Yao, and Jiaya Jia · 2023
Closest in time.
Colorizing monochromatic radiance fields
Yean Cheng, Renjie Wan, Shuchen Weng, Chengxuan Zhu, Yakun Chang, and Boxin Shi · 2024
Closest in time.
Automatic controllable colorization via imagination
Xiaoyan Cong, Yue Wu, Qifeng Chen, and Chenyang Lei · 2024
Closest in time.
Lift3d: Zero-shot lifting of any 2d vision model to 3d
Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi, et al · 2024
Closest in time.
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 2024
Closest in time.
Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Ziyi Yang, Xinyu Gao, Wen Zhou, Shaohui Jiao, Yuqing Zhang, and Xiaogang Jin · 2024
Closest in time.