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Camera-controlled video-to-video (V2V) generation enables dynamic viewpoint synthesis from monocular footage, holding immense potential for interactive filmmaking and live broadcasting. However, existing implicit synthesis methods…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Youcan Xu , Jiaxin Shi , Zhen Wang , Wensong Song , Feifei Shao , Chen Liang , Jun Xiao , Long Chen

We present SHARP, an approach to photorealistic view synthesis from a single image. Given a single photograph, SHARP regresses the parameters of a 3D Gaussian representation of the depicted scene. This is done in less than a second on a…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Lars Mescheder , Wei Dong , Shiwei Li , Xuyang Bai , Marcel Santos , Peiyun Hu , Bruno Lecouat , Mingmin Zhen , Amaël Delaunoy , Tian Fang , Yanghai Tsin , Stephan R. Richter , Vladlen Koltun

Generating multiview images from a single view facilitates the rapid generation of a 3D mesh conditioned on a single image. Recent methods that introduce 3D global representation into diffusion models have shown the potential to generate…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Zehuan Huang , Hao Wen , Junting Dong , Yaohui Wang , Yangguang Li , Xinyuan Chen , Yan-Pei Cao , Ding Liang , Yu Qiao , Bo Dai , Lu Sheng

We present 3DiM, a diffusion model for 3D novel view synthesis, which is able to translate a single input view into consistent and sharp completions across many views. The core component of 3DiM is a pose-conditional image-to-image…

Computer Vision and Pattern Recognition · Computer Science 2022-10-11 Daniel Watson , William Chan , Ricardo Martin-Brualla , Jonathan Ho , Andrea Tagliasacchi , Mohammad Norouzi

Texturing is a crucial step in the 3D asset production workflow, which enhances the visual appeal and diversity of 3D assets. Despite recent advancements in Text-to-Texture (T2T) generation, existing methods often yield subpar results,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Wei Cheng , Juncheng Mu , Xianfang Zeng , Xin Chen , Anqi Pang , Chi Zhang , Zhibin Wang , Bin Fu , Gang Yu , Ziwei Liu , Liang Pan

We present a method that synthesizes novel views of complex scenes by interpolating a sparse set of nearby views. The core of our method is a network architecture that includes a multilayer perceptron and a ray transformer that estimates…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Qianqian Wang , Zhicheng Wang , Kyle Genova , Pratul Srinivasan , Howard Zhou , Jonathan T. Barron , Ricardo Martin-Brualla , Noah Snavely , Thomas Funkhouser

Depth-image-based rendering is a key view synthesis algorithm in 3D video systems, which enables the synthesis of virtual views from texture images and depth maps. An efficient view synthesis distortion estimation model is critical for…

Image and Video Processing · Electrical Eng. & Systems 2025-10-21 Chongyuan Bi , Jie Liang

We propose a novel one-stage method, NVB-Face, for generating consistent Novel-View images directly from a single Blind Face image. Existing approaches to novel-view synthesis for objects or faces typically require a high-resolution RGB…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Taoyue Wang , Xiang Zhang , Xiaotian Li , Huiyuan Yang , Lijun Yin

Synthesizing extrapolated views remains a difficult task, especially in urban driving scenes, where the only reliable sources of data are limited RGB captures and sparse LiDAR points. To address this problem, we present PointmapDiff, a…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Thang-Anh-Quan Nguyen , Nathan Piasco , Luis Roldão , Moussab Bennehar , Dzmitry Tsishkou , Laurent Caraffa , Jean-Philippe Tarel , Roland Brémond

Building upon the recent progress in novel view synthesis, we propose its application to improve monocular depth estimation. In particular, we propose a novel training method split in three main steps. First, the prediction results of a…

Computer Vision and Pattern Recognition · Computer Science 2021-12-24 Zuria Bauer , Zuoyue Li , Sergio Orts-Escolano , Miguel Cazorla , Marc Pollefeys , Martin R. Oswald

Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. In this work, we propose \textbf{ViewCrafter}, a novel method for synthesizing high-fidelity novel…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Wangbo Yu , Jinbo Xing , Li Yuan , Wenbo Hu , Xiaoyu Li , Zhipeng Huang , Xiangjun Gao , Tien-Tsin Wong , Ying Shan , Yonghong Tian

Multiview depth imagery will play a critical role in free-viewpoint television. This technology requires high quality virtual view synthesis to enable viewers to move freely in a dynamic real world scene. Depth imagery at different…

Computer Vision and Pattern Recognition · Computer Science 2023-01-30 Pravin Kumar Rana , Markus Flierl

Model Predictive Path Integral (MPPI) is a popular sampling-based Model Predictive Control (MPC) algorithm for nonlinear systems. It optimizes trajectories by sampling control sequences and averaging them. However, a key issue with MPPI is…

Robotics · Computer Science 2025-05-22 Edvin Martin Andrejev , Amith Manoharan , Karl-Eerik Unt , Arun Kumar Singh

The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental technique to generate new views in 3D video applications, such as Multi-View Videos (MVV), Free-Viewpoint Videos (FVV) and Virtual Reality (VR). However, the quality…

Image and Video Processing · Electrical Eng. & Systems 2021-04-28 Shishun Tian , Lu Zhang , Wenbin Zou , Xia Li , Ting Su , Luce Morin , Olivier Deforges

We introduce a principled approach for synthesizing new views of a scene given a single source image. Previous methods for novel view synthesis can be divided into image-based rendering methods (e.g. flow prediction) or pixel generation…

Computer Vision and Pattern Recognition · Computer Science 2021-01-06 Yuxin Hou , Arno Solin , Juho Kannala

Recent years have witnessed remarkable progress in multi-view diffusion models for 3D content creation. However, there remains a significant gap in image quality and prompt-following ability compared to 2D diffusion models. A critical…

Computer Vision and Pattern Recognition · Computer Science 2024-10-04 Zeyi Sun , Tong Wu , Pan Zhang , Yuhang Zang , Xiaoyi Dong , Yuanjun Xiong , Dahua Lin , Jiaqi Wang

Generating 4D scenes from a single-view video is inherently ill-posed: a single viewpoint lacks the information needed to recover a complete, dynamic scene with full coverage. Existing methods are typically limited to monocular videos,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Tingxi Chen , Ke Hao , Yabo Chen , Zhengxue Cheng , Rong Xie , Li Song , Haibin Huang , Chi Zhang , Xuelong Li

Novel view synthesis (NVS) from a single image is highly ill-posed due to large unobserved regions, especially for views that deviate significantly from the input. While existing methods focus on consistency between the source and generated…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Xueyang Kang , Zhengkang Xiang , Zezheng Zhang , Kourosh Khoshelham

This work aims to address the multi-view perspective RGB generation from text prompts given Bird-Eye-View(BEV) semantics. Unlike prior methods that neglect layout consistency, lack the ability to handle detailed text prompts, or are…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Buyu Liu , Kai Wang , Yansong Liu , Jun Bao , Tingting Han , Jun Yu

We present a portable multiscopic camera system with a dedicated model for novel view and time synthesis in dynamic scenes. Our goal is to render high-quality images for a dynamic scene from any viewpoint at any time using our portable…

Computer Vision and Pattern Recognition · Computer Science 2022-08-31 Tianjia Zhang , Yuen-Fui Lau , Qifeng Chen
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