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We present SetDiff, a geometry-grounded multi-view diffusion framework that enhances novel-view renderings produced by 3D Gaussian Splatting. Our method integrates explicit 3D priors, pixel-aligned coordinate maps and pose-aware Plucker ray…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Farhad G. Zanjani , Hong Cai , Amirhossein Habibian

Reconstructing 3D scenes and synthesizing novel views from sparse input views is a highly challenging task. Recent advances in video diffusion models have demonstrated strong temporal reasoning capabilities, making them a promising tool for…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Yuqi Zhang , Guanying Chen , Jiaxing Chen , Chuanyu Fu , Chuan Huang , Shuguang Cui

Generating novel views of an object from a single image is a challenging task. It requires an understanding of the underlying 3D structure of the object from an image and rendering high-quality, spatially consistent new views. While recent…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Jeong-gi Kwak , Erqun Dong , Yuhe Jin , Hanseok Ko , Shweta Mahajan , Kwang Moo Yi

Novel view synthesis from a single image has been a cornerstone problem for many Virtual Reality applications that provide immersive experiences. However, most existing techniques can only synthesize novel views within a limited range of…

Computer Vision and Pattern Recognition · Computer Science 2023-03-31 Hung-Yu Tseng , Qinbo Li , Changil Kim , Suhib Alsisan , Jia-Bin Huang , Johannes Kopf

Novel view synthesis from a single input image is a challenging task, where the goal is to generate a new view of a scene from a desired camera pose that may be separated by a large motion. The highly uncertain nature of this synthesis task…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Jason J. Yu , Fereshteh Forghani , Konstantinos G. Derpanis , Marcus A. Brubaker

We present DiffPortrait3D, a conditional diffusion model that is capable of synthesizing 3D-consistent photo-realistic novel views from as few as a single in-the-wild portrait. Specifically, given a single RGB input, we aim to synthesize…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Yuming Gu , You Xie , Hongyi Xu , Guoxian Song , Yichun Shi , Di Chang , Jing Yang , Linjie Luo

Novel view synthesis from a single image requires inferring occluded regions of objects and scenes whilst simultaneously maintaining semantic and physical consistency with the input. Existing approaches condition neural radiance fields…

Computer Vision and Pattern Recognition · Computer Science 2023-02-21 Jiatao Gu , Alex Trevithick , Kai-En Lin , Josh Susskind , Christian Theobalt , Lingjie Liu , Ravi Ramamoorthi

Despite recent advances in Novel View Synthesis (NVS), generating high-fidelity views from single or sparse observations remains a significant challenge. Existing splatting-based approaches often produce distorted geometry due to splatting…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Xiang Zhang , Yang Zhang , Lukas Mehl , Markus Gross , Christopher Schroers

Generating high-quality novel views of a scene from a single image requires maintaining structural coherence across different views, referred to as view consistency. While diffusion models have driven advancements in novel view synthesis,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Jiwoo Park , Tae Eun Choi , Youngjun Jun , Seong Jae Hwang

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

Scene extrapolation -- the idea of generating novel views by flying into a given image -- is a promising, yet challenging task. For each predicted frame, a joint inpainting and 3D refinement problem has to be solved, which is ill posed and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-21 Shengqu Cai , Eric Ryan Chan , Songyou Peng , Mohamad Shahbazi , Anton Obukhov , Luc Van Gool , Gordon Wetzstein

We introduce MultiDiff, a novel approach for consistent novel view synthesis of scenes from a single RGB image. The task of synthesizing novel views from a single reference image is highly ill-posed by nature, as there exist multiple,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-27 Norman Müller , Katja Schwarz , Barbara Roessle , Lorenzo Porzi , Samuel Rota Bulò , Matthias Nießner , Peter Kontschieder

By enabling capturing of 3D point clouds that reflect the geometry of the immediate environment, LiDAR has emerged as a primary sensor for autonomous systems. If a LiDAR scan is too sparse, occluded by obstacles, or too small in range,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-16 Ryan Faulkner , Luke Haub , Simon Ratcliffe , Anh-Dzung Doan , Ian Reid , Tat-Jun Chin

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

We present a diffusion-based model for 3D-aware generative novel view synthesis from as few as a single input image. Our model samples from the distribution of possible renderings consistent with the input and, even in the presence of…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Eric R. Chan , Koki Nagano , Matthew A. Chan , Alexander W. Bergman , Jeong Joon Park , Axel Levy , Miika Aittala , Shalini De Mello , Tero Karras , Gordon Wetzstein

Dynamic novel view synthesis aims to capture the temporal evolution of visual content within videos. Existing methods struggle to distinguishing between motion and structure, particularly in scenarios where camera poses are either unknown…

Computer Vision and Pattern Recognition · Computer Science 2024-01-12 Chaoyang Wang , Peiye Zhuang , Aliaksandr Siarohin , Junli Cao , Guocheng Qian , Hsin-Ying Lee , Sergey Tulyakov

Single-view novel view synthesis (NVS), the task of generating images from new viewpoints based on a single reference image, is important but challenging in computer vision. Recent advancements in NVS have leveraged Denoising Diffusion…

Computer Vision and Pattern Recognition · Computer Science 2024-03-13 Yifeng Xiong , Haoyu Ma , Shanlin Sun , Kun Han , Hao Tang , Xiaohui Xie

We introduce the task of mixed-view panorama synthesis, where the goal is to synthesize a novel panorama given a small set of input panoramas and a satellite image of the area. This contrasts with previous work which only uses input…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Zhexiao Xiong , Xin Xing , Scott Workman , Subash Khanal , Nathan Jacobs

Recent 3D novel view synthesis (NVS) methods often require extensive 3D data for training, and also typically lack generalization beyond the training distribution. Moreover, they tend to be object centric and struggle with complex and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Taewon Kang , Divya Kothandaraman , Dinesh Manocha , Ming C. Lin

Diffusion-based approaches have recently demonstrated strong performance for single-image novel view synthesis by conditioning generative models on geometry inferred from monocular depth estimation. However, in practice, the quality and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Amirhosein Javadi , Chi-Shiang Gau , Konstantinos D. Polyzos , Tara Javidi
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