sparse input

Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views AAAI 2026 S2D: Sparse to Dense Lifting for 3D Reconstruction with Minimal Inputs CVPR 2026 RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors ICCV 2025 SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs CVPR 2025 SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input UAI 2025 Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs CVPR 2025 Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures ICLR 2025 ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field AAAI 2024 Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views AAAI 2024 FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training NeurIPS 2024 FSC: Few-point Shape Completion CVPR 2024 MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs CVPR 2023 Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations NeurIPS 2023 S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces ICCV 2023 VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs IJCAI 2023 Dense Depth Priors for Neural Radiance Fields From Sparse Input Views CVPR 2022 FWD: Real-Time Novel View Synthesis With Forward Warping and Depth CVPR 2022 RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs CVPR 2022 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020