Results 1 to 10 of about 882,347 (341)
Novel View Synthesis with Diffusion Models [PDF]
CoRR, 2022 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 diffusion model, which
Daniel Watson +5 more
semanticscholar +6 more sources
Novel-View Acoustic Synthesis [PDF]
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Accepted at CVPR 2023.
Chen, C +6 more
openaire +3 more sources
Neural LiDAR Fields for Novel View Synthesis
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 We present Neural Fields for LiDAR (NFL), a method to optimise a neural field scene representation from LiDAR measurements, with the goal of synthesizing realistic LiDAR scans from novel viewpoints.
S. Huang +7 more
semanticscholar +3 more sources
GPS-Gaussian: Generalizable Pixel-Wise 3D Gaussian Splatting for Real-Time Human Novel View Synthesis [PDF]
Computer Vision and Pattern Recognition, 2023 We present a new approach, termed GPS-Gaussian, for synthesizing novel views of a character in a real-time manner. The proposed method enables 2K-resolution rendering under a sparse-view camera setting.
Shunyuan Zheng +6 more
semanticscholar +1 more source
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis [PDF]
Computer Vision and Pattern Recognition, 2023 Recently, high-fidelity scene reconstruction with an optimized 3D Gaussian splat representation has been introducedfor novel view synthesis from sparse image sets. Making such representations suitable for applications like network streaming and rendering
Simon Niedermayr +2 more
semanticscholar +1 more source
Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans [PDF]
Computer Vision and Pattern Recognition, 2020 This paper addresses the challenge of novel view synthesis for a human performer from a very sparse set of camera views. Some recent works have shown that learning implicit neural representations of 3D scenes achieves remarkable view synthesis quality ...
Sida Peng +6 more
semanticscholar +1 more source
SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis [PDF]
IEEE International Conference on Computer Vision, 2023 Neural Radiance Field (NeRF) significantly degrades when only a limited number of views are available. To complement the lack of 3D information, depth-based models, such as DSNeRF and MonoSDF, explicitly assume the availability of accurate depth maps of ...
Guangcong Wang +3 more
semanticscholar +1 more source
Novel-View Human Action Synthesis [PDF]
, 2021 Asian Conference on Computer Vision (ACCV ...
Mohamed Ilyes Lakhal +4 more
openaire +2 more sources
Novel View Specification and Synthesis [PDF]
Procedings of the British Machine Vision Conference 2002, 2002 Given a set of real images, Novel View Synthesis (NVS) aims to produce views of a scene that would correspond to that of a virtual camera. There exist many approaches to solving this problem. We consider physically valid NVS methods, in particular those based on epipolar and trifocal transfer.
Keith Richard Connor, Ian Reid 0001
openaire +1 more source
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis [PDF]
IEEE International Conference on Computer Vision, 2021 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 radiance ...
Jiaxin Li +5 more
semanticscholar +1 more source