2024 Poster "novel view synthesis" Papers
34 papers found
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
Lingzhe Zhao, Peng Wang, Peidong Liu
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu, Chuanchen Luo, Lue Fan et al.
City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
Kaiwen Song, Xiaoyi Zeng, Chenqu Ren et al.
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen et al.
DGD: Dynamic 3D Gaussians Distillation
Isaac Labe, Noam Issachar, Itai Lang et al.
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization
Yukun Wang, Kunhong Li, Minglin Chen et al.
DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting
Angelos Kratimenos, Jiahui Lei, Kostas Daniilidis
Few-shot NeRF by Adaptive Rendering Loss Regularization
Qingshan Xu, Xuanyu Yi, Jianyao Xu et al.
Flying with Photons: Rendering Novel Views of Propagating Light
Anagh Malik, Noah Juravsky, Ryan Po et al.
Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation
Sudhir Kumar Reddy Yarram, Junsong Yuan
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
Vinayak Gupta, Rongali Simhachala Venkata Girish, Mukund Varma T et al.
Gaussian in the wild: 3D Gaussian Splatting for Unconstrained Image Collections
Dongbin Zhang, Chuming Wang, Weitao Wang et al.
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang et al.
GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views
Yaniv Wolf, Amit Bracha, Ron Kimmel
HiFi-123: Towards High-fidelity One Image to 3D Content Generation
Wangbo Yu, Li Yuan, Yanpei Cao et al.
Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal
YUXIN WANG, Qianyi Wu, Guofeng Zhang et al.
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions
Jiacong Xu, Mingqian Liao, Ram Prabhakar Kathirvel et al.
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
Lukas Bösiger, Mihai Dusmanu, Marc Pollefeys et al.
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
Shuzhao Xie, Weixiang Zhang, Chen Tang et al.
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun, Rishabh Dabral, Pascal Fua et al.
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim et al.
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
Ziyang Song, Jinxi Li, Bo Yang
Physically Plausible Color Correction for Neural Radiance Fields
Qi Zhang, Ying Feng, HONGDONG LI
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis
Jason Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani et al.
RaFE: Generative Radiance Fields Restoration
Zhongkai Wu, Ziyu Wan, Jing Zhang et al.
Revising Densification in Gaussian Splatting
Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder
Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
Diwen Wan, Ruijie Lu, Gang Zeng
Surface Reconstruction for 3D Gaussian Splatting via Local Structural Hints
Qianyi Wu, Jianmin Zheng, Jianfei Cai
SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting
Richard Shaw, Michal Nazarczuk, Song Jifei et al.
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving
Cheng Zhao, su sun, Ruoyu Wang et al.
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors
Sungwon Hwang, Min-Jung Kim, Taewoong Kang et al.
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting
Renjie Li, Zhiwen Fan, Bohua Wang et al.
Volumetric Rendering with Baked Quadrature Fields
Gopal Sharma, Daniel Rebain, Kwang Moo Yi et al.