https://github.com/xingyi-li/symmnerf
공식 코드SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis
Structure-Aware NeRF without Posed Camera via Epipolar Constraint
Improving Neural Radiance Fields with Depth-aware Optimization for Novel View Synthesis
3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands
GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer
Freq-Mip-AA : Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields
Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
DerainNeRF: 3D Scene Estimation with Adhesive Waterdrop Removal
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
FED-NeRF: Achieve High 3D Consistency and Temporal Coherence for Face Video Editing on Dynamic NeRF
FLNeRF: 3D Facial Landmarks Estimation in Neural Radiance Fields
Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis
PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling
Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.