Papers with Code 아카이브
Neural Rendering
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Given a representation of a 3D scene of some kind (point cloud, mesh, voxels, etc.), the task is to create an algorithm that can produce photorealistic renderings of this scene from an arbitrary viewpoint. Sometimes, the task is accompanied by image/scene appearance manipulation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ALBERT-Inc/blog_nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/AiEson/neural-scene-graphs-pytorch
https://github.com/AnimatedRNG/nerf-jax
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/CUHK-AIM-Group/LGS
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
https://github.com/DavidLandup0/deepvision
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/Godofnothing/pi-GAN
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
https://github.com/Jittor/JNeRF
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/JonathonLuiten/instant-nerf-pytorch
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/JulianKnodt/nerf_atlas
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/KwaiVGI/LivePortrait
Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head Synthesis
https://github.com/Leminhbinh0209/AAAI22-ADD
Deferred Neural Rendering: Image Synthesis using Neural Textures
https://github.com/Linyou/taichi-ngp-renderer
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/FastNeRF_High_Fidelity_Neural_Rendering_at_200FPS
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/FreeNeRF_Improving_Few_shot_Neural_Rendering_with_Free_Frequency_Regularization
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Instant_Neural_Graphics_Primitives_with_a_Multiresolution_Hash_Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/NeRF_Representing_Scenes_as_Neural_Radiance_Fields_for_View_Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/PlenOctrees_for_Real_time_Rendering_of_Neural_Radiance_Fields
PlenOctrees for Real-time Rendering of Neural Radiance Fields
https://github.com/OpenSpaceAI/TI-Face
TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
https://github.com/SSRSGJYD/NeuralTexture
Deferred Neural Rendering: Image Synthesis using Neural Textures
https://github.com/ai4ce/EUVS-Benchmark
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
https://github.com/airalcorn2/pytorch-nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/albertpumarola/D-NeRF
https://github.com/apchenstu/TensoRF
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
https://github.com/apple/ml-equivariant-neural-rendering
https://github.com/ashawkey/torch-ngp
https://github.com/autodeskailab/clip-forge
https://github.com/bebeal/mipnerf-pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/blurgyy/jaxngp
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/bruinxiong/EG3D-pytorch
https://github.com/bycloudai/instant-ngp-windows
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/cheind/pure-torch-ngp
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/crearth/ai
https://github.com/eitan3/nerf_gluon
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/facebookresearch/NSVF
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/facebookresearch/multiface
Learning Compositional Radiance Fields of Dynamic Human Heads
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.