Search Results for author: Yuewen Ma

Found 4 papers, 0 papers with code

DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading

no code implementations15 Apr 2024 Tong Wu, Jia-Mu Sun, Yu-Kun Lai, Yuewen Ma, Leif Kobbelt, Lin Gao

To address these issues, we introduce DeferredGS, a method for decoupling and editing the Gaussian splatting representation using deferred shading.

Novel View Synthesis

DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation

no code implementations19 Oct 2023 Bangbang Yang, Wenqi Dong, Lin Ma, WenBo Hu, Xiao Liu, Zhaopeng Cui, Yuewen Ma

To ensure meaningful and aligned textures to the scene, we develop a novel coarse-to-fine panoramic texture generation approach with dual texture alignment, which both considers the geometry and texture cues of the captured scenes.

Texture Synthesis

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

no code implementations ICCV 2023 WenBo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu, Yuewen Ma

Despite the tremendous progress in neural radiance fields (NeRF), we still face a dilemma of the trade-off between quality and efficiency, e. g., MipNeRF presents fine-detailed and anti-aliased renderings but takes days for training, while Instant-ngp can accomplish the reconstruction in a few minutes but suffers from blurring or aliasing when rendering at various distances or resolutions due to ignoring the sampling area.

NeRF-Editing: Geometry Editing of Neural Radiance Fields

no code implementations CVPR 2022 Yu-Jie Yuan, Yang-tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Lin Gao

In this paper, we propose a method that allows users to perform controllable shape deformation on the implicit representation of the scene, and synthesizes the novel view images of the edited scene without re-training the network.

Neural Rendering Novel View Synthesis

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