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In this paper, we propose MINE to perform novel view synthesis and depth estimation via dense 3D reconstruction from a single image. Our approach is a continuous depth generalization of the Multiplane Images (MPI) by introducing the NEural…

Computer Vision and Pattern Recognition · Computer Science 2021-08-02 Jiaxin Li , Zijian Feng , Qi She , Henghui Ding , Changhu Wang , Gim Hee Lee

Generating static novel views from an already captured image is a hard task in computer vision and graphics, in particular when the single input image has dynamic parts such as persons or moving objects. In this paper, we tackle this…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Gustavo Sutter P. Carvalho , Diogo C. Luvizon , Antonio Joia Neto , Andre G. C. Pacheco , Otavio A. B. Penatti

Purpose: To develop a general framework for Parallel Imaging (PI) with the use of Maxwell regularization for the estimation of the sensitivity maps (SMs) and constrained optimization for the parameter-free image reconstruction. Theory and…

Image and Video Processing · Electrical Eng. & Systems 2020-08-21 Matteo Alessandro Francavilla , Stamatios Lefkimmiatis , Jorge F. Villena , Athanasios G. Polimeridis

In this paper we address the problem of view synthesis from large baseline light fields, by turning a sparse set of input views into a Multi-plane Image (MPI). Because available datasets are scarce, we propose a lightweight network that…

Computer Vision and Pattern Recognition · Computer Science 2020-05-20 Tomás Völker , Guillaume Boisson , Bertrand Chupeau

This paper studies the problem of view synthesis with certain amount of rotations from a pair of images, what we called stereo unstructured magnification. While the multi-plane image representation is well suited for view synthesis with…

Computer Vision and Pattern Recognition · Computer Science 2022-04-04 Qi Zhang , Xin Huang , Ying Feng , Xue Wang , Hongdong Li , Qing Wang

We present NeX, a new approach to novel view synthesis based on enhancements of multiplane image (MPI) that can reproduce next-level view-dependent effects -- in real time. Unlike traditional MPI that uses a set of simple RGB$\alpha$…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Suttisak Wizadwongsa , Pakkapon Phongthawee , Jiraphon Yenphraphai , Supasorn Suwajanakorn

While current multi-frame restoration methods combine information from multiple input images using 2D alignment techniques, recent advances in novel view synthesis are paving the way for a new paradigm relying on volumetric scene…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Thomas Tanay , Aleš Leonardis , Matteo Maggioni

Many popular tourist landmarks are captured in a multitude of online, public photos. These photos represent a sparse and unstructured sampling of the plenoptic function for a particular scene. In this paper,we present a new approach to…

Computer Vision and Pattern Recognition · Computer Science 2020-07-31 Zhengqi Li , Wenqi Xian , Abe Davis , Noah Snavely

We propose a learning-based approach for novel view synthesis for multi-camera 360$^{\circ}$ panorama capture rigs. Previous work constructs RGBD panoramas from such data, allowing for view synthesis with small amounts of translation, but…

Computer Vision and Pattern Recognition · Computer Science 2020-08-06 Kai-En Lin , Zexiang Xu , Ben Mildenhall , Pratul P. Srinivasan , Yannick Hold-Geoffroy , Stephen DiVerdi , Qi Sun , Kalyan Sunkavalli , Ravi Ramamoorthi

What is really needed to make an existing 2D GAN 3D-aware? To answer this question, we modify a classical GAN, i.e., StyleGANv2, as little as possible. We find that only two modifications are absolutely necessary: 1) a multiplane image…

Computer Vision and Pattern Recognition · Computer Science 2022-07-22 Xiaoming Zhao , Fangchang Ma , David Güera , Zhile Ren , Alexander G. Schwing , Alex Colburn

Single image 3D photography enables viewers to view a still image from novel viewpoints. Recent approaches combine monocular depth networks with inpainting networks to achieve compelling results. A drawback of these techniques is the use of…

Computer Vision and Pattern Recognition · Computer Science 2021-09-03 Varun Jampani , Huiwen Chang , Kyle Sargent , Abhishek Kar , Richard Tucker , Michael Krainin , Dominik Kaeser , William T. Freeman , David Salesin , Brian Curless , Ce Liu

We tackle a new problem of semantic view synthesis -- generating free-viewpoint rendering of a synthesized scene using a semantic label map as input. We build upon recent advances in semantic image synthesis and view synthesis for handling…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Hsin-Ping Huang , Hung-Yu Tseng , Hsin-Ying Lee , Jia-Bin Huang

Human instance matting aims to estimate an alpha matte for each human instance in an image, which is challenging as it easily fails in complex cases requiring disentangling mingled pixels belonging to multiple instances along hairy and thin…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Siyi Jiao , Wenzheng Zeng , Yerong Li , Huayu Zhang , Changxin Gao , Nong Sang , Mike Zheng Shou

Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obtained from TOF cameras contain scene dependent errors due to…

Computer Vision and Pattern Recognition · Computer Science 2015-02-03 Nikhil Naik , Achuta Kadambi , Christoph Rhemann , Shahram Izadi , Ramesh Raskar , Sing Bing Kang

Partial occlusion effects are a phenomenon that blurry objects near a camera are semi-transparent, resulting in partial appearance of occluded background. However, it is challenging for existing bokeh rendering methods to simulate realistic…

Computer Vision and Pattern Recognition · Computer Science 2022-07-19 Juewen Peng , Jianming Zhang , Xianrui Luo , Hao Lu , Ke Xian , Zhiguo Cao

We present a new method for lightweight novel-view synthesis that generalizes to an arbitrary forward-facing scene. Recent approaches are computationally expensive, require per-scene optimization, or produce a memory-expensive…

Computer Vision and Pattern Recognition · Computer Science 2022-10-05 Pavel Solovev , Taras Khakhulin , Denis Korzhenkov

Spatial intelligence is emerging as a transformative frontier in AI, yet it remains constrained by the scarcity of large-scale 3D datasets. Unlike the abundant 2D imagery, acquiring 3D data typically requires specialized sensors and…

Computer Vision and Pattern Recognition · Computer Science 2025-07-28 Xingyu Miao , Haoran Duan , Quanhao Qian , Jiuniu Wang , Yang Long , Ling Shao , Deli Zhao , Ran Xu , Gongjie Zhang

We propose a novel 3D-aware diffusion-based method for generating photorealistic talking head videos directly from a single identity image and explicit control signals (e.g., expressions). Our method generates Multiplane Images (MPIs) that…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Yuan Li , Ziqian Bai , Feitong Tan , Zhaopeng Cui , Sean Fanello , Yinda Zhang

We propose a method for converting a single RGB-D input image into a 3D photo - a multi-layer representation for novel view synthesis that contains hallucinated color and depth structures in regions occluded in the original view. We use a…

Computer Vision and Pattern Recognition · Computer Science 2020-06-11 Meng-Li Shih , Shih-Yang Su , Johannes Kopf , Jia-Bin Huang

This paper tackles the problem of novel view synthesis from a single image. In particular, we target real-world scenes with rich geometric structure, a challenging task due to the large appearance variations of such scenes and the lack of…

Computer Vision and Pattern Recognition · Computer Science 2018-04-18 Miaomiao Liu , Xuming He , Mathieu Salzmann