https://github.com/mmrl/lost-in-latent-space
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
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/myagues/flax_nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/naufalso/keras_nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/nerfstudio-project/nerfstudio
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/nvidiagameworks/kaolin-wisp
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/prajwalsingh/NeRF-Pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/russrobin/knowledge_nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/salykovaa/instant-DexNerf
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/seominseok0429/Implicit-Stacked-Autoregressive-Model-for-Video-Prediction
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/shengyu-meng/dreamfields-3D
https://github.com/shocker-0x15/GfxExp
https://github.com/sillsill777/NeRF-PyTorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/simpleig/Geo-PIFu
https://github.com/sjb3d/descent/tree/main/examples/image_fit
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/suoxinkey/PlenOctrees_NeRF-SH
PlenOctrees for Real-time Rendering of Neural Radiance Fields
https://github.com/sxyu/volrend
PlenOctrees for Real-time Rendering of Neural Radiance Fields
https://github.com/taconite/intrinsicavatar
https://github.com/transpchan/Live3D-v2
https://github.com/wagnva/semantic-nerf-for-satellite-data
https://github.com/wandb/awesome-dl-projects
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/wandb/gallery
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/wljungbergh/neuroncap
https://github.com/xg-chu/gagavatar
GPAvatar: Generalizable and Precise Head Avatar from Image(s)
https://github.com/xiuyu0000/papers_with_examples/tree/main/nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/xk-huang/nerf.mindspore
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/xk-huang/yet-another-nerf
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/xxlong0/sparseneus
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views
https://github.com/y-u-a-n-l-i/Climate_NeRF
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
https://github.com/yangyucheng000/NERF
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/yashbhalgat/HashNeRF-pytorch
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/yenchenlin/nerf-pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/yifliu3/EndoGaussian
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
https://github.com/yuehaowang/nerf-pytorch
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://github.com/zhongshsh/4d-animal
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
https://github.com/zubair-irshad/CenterSnap
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.