https://github.com/ZiqiaoPeng/SyncTalk
공식 코드SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis
Papers with Code 아카이브
NeRF
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aaltoml/uncertainty-nerf-gs
공식 코드https://github.com/abhi1kumar/SUP-NeRF
공식 코드https://github.com/aelphy/t4dt
공식 코드https://github.com/aiart-hdu/sage
공식 코드https://github.com/aibluefisher/dogs
공식 코드https://github.com/aibluefisher/dreg-nerf
공식 코드https://github.com/ais-bonn/neural_mvs
공식 코드NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
https://github.com/ais-lab/descriptorsynthesis4feat2map
공식 코드Leveraging Neural Radiance Field in Descriptor Synthesis for Keypoints Scene Coordinate Regression
https://github.com/ajayjain/DietNeRF
공식 코드Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
https://github.com/albertgassol1/vf-nerf
공식 코드VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction
https://github.com/alessandroruzzi/gazenerf
공식 코드GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields
https://github.com/alexkeroro86/samplenerfro
공식 코드https://github.com/algohunt/vqrf
공식 코드https://github.com/aliyoussef97/silk-prp
공식 코드https://github.com/andypinxinliu/HumanFaceProject/tree/main/assets/GaussianStyle
공식 코드https://github.com/anish-bhattacharya/evdnerf
공식 코드EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields
https://github.com/anonymous-researcher-01/physicsnerf
공식 코드PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse Views
https://github.com/antonio521/motiongs
공식 코드https://github.com/apchenstu/TensoRF
공식 코드https://github.com/apchenstu/mvsnerf
공식 코드MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
https://github.com/apple/ml-neuman
공식 코드https://github.com/aprilbian/SEPT
공식 코드Over-the-Air Learning-based Geometry Point Cloud Transmission
https://github.com/aries-iai/tt3d
공식 코드Towards Transferable Targeted 3D Adversarial Attack in the Physical World
https://github.com/arlo0o/navinerf
공식 코드NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation
https://github.com/ashawkey/ccnerf
공식 코드Compressible-composable NeRF via Rank-residual Decomposition
https://github.com/ashawkey/nerf2mesh
공식 코드Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
https://github.com/astra-vision/SceneRF
공식 코드SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields
https://github.com/astra-vision/brdftransform
공식 코드https://github.com/atonderski/neuro-ncap
공식 코드NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
https://github.com/autonomousvision/murf
공식 코드https://github.com/autonomousvision/unisurf
공식 코드UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
https://github.com/avinashpaliwal/coherentgs
공식 코드CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
https://github.com/azzarelli/wape
공식 코드https://github.com/barbararoessle/dense_depth_priors_nerf
공식 코드Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
https://github.com/bbbbby-99/insertnerf
공식 코드InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.