Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
Our proposed EVE-NeRF harnesses both cross-view and along-epipolar information in an entangled manner to address limitations in existing strategies, resulting in state-of-the-art performance.
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
NeRF-VPTは、新しい視点表現を学習するための革新的な手法であり、NeRFに基づくアプローチと比較して高品質な画像を生成します。
Omni-Recon: General-Purpose Neural Radiance Fields for 3D Applications
Developing a general-purpose NeRF model for versatile 3D tasks.
ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis
ThermoNeRF proposes a multimodal approach using Neural Radiance Fields for accurate thermal image synthesis and reconstruction.
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields: EVE-NeRF Study
EVE-NeRF harnesses cross-view and along-epipolar information to enhance 3D representation.
Depth-guided NeRF Training via Earth Mover's Distance: Improving Neural Radiance Fields with Uncertainty
Leveraging uncertainty in depth priors through Earth Mover's Distance improves NeRF training.
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
CombiNeRF combines multiple regularization techniques to improve few-shot neural radiance field view synthesis.
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
CombiNeRF combines various regularization techniques to enhance few-shot neural radiance field view synthesis.
3D Gaussian Splatting for Unconstrained Image Collections
GS-W introduces 3D Gaussian points with separated intrinsic and dynamic appearance features to improve scene reconstruction quality and rendering speed.
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs
Proposing a novel approach to improve NeRF's performance with sparse inputs by modeling 3D spatial field consistency.
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