Papers › HexPlane: A Fast Representation for Dynamic Scenes

HexPlane: A Fast Representation for Dynamic Scenes

23 Jan 2023CVPR 2023 1arXiv:2301.09632archive 2025-07-28

Ang Cao, Justin Johnson

Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior approaches build on NeRF and rely on implicit representations. This is slow since it requires many MLP evaluations, constraining real-world applications. We show that dynamic 3D scenes can be explicitly represented by six planes of learned features, leading to an elegant solution we call HexPlane. A HexPlane computes features for points in spacetime by fusing vectors extracted from each plane, which is highly efficient. Pairing a HexPlane with a tiny MLP to regress output colors and training via volume rendering gives impressive results for novel view synthesis on dynamic scenes, matching the image quality of prior work but reducing training time by more than 100×. Extensive ablations confirm our HexPlane design and show that it is robust to different feature fusion mechanisms, coordinate systems, and decoding mechanisms. HexPlane is a simple and effective solution for representing 4D volumes, and we hope they can broadly contribute to modeling spacetime for dynamic 3D scenes.

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average_poses Caoang327/HexPlane/hexplane/dataloader/neural_3D_dataset_NDC.py official repository ran fingerprinted MIT (permissive) · 311310d09b78c64c · report
cal_n_samples Caoang327/HexPlane/hexplane/render/util/Sampling.py official repository ran fingerprinted MIT (permissive) · 558487cf4a6668eb · report
center_poses Caoang327/HexPlane/hexplane/dataloader/neural_3D_dataset_NDC.py official repository ran MIT (permissive) · 9da28ba9306c62af · report
eval_sh Caoang327/HexPlane/hexplane/model/sh.py official repository ran MIT (permissive) · db95ecdf5d4abe6b · report
eval_sh_bases Caoang327/HexPlane/hexplane/model/sh.py official repository ran · fixture could not drive it MIT (permissive) · caa9e209a9083a0f · report
normalize Caoang327/HexPlane/hexplane/dataloader/neural_3D_dataset_NDC.py official repository ran fingerprinted MIT (permissive) · aa33e7122eb26d8b · report
GM_Resi Caoang327/HexPlane/hexplane/render/util/Sampling.py official repository unverified MIT (permissive) · 33d5c85464c8631c · report
GM_function Caoang327/HexPlane/hexplane/render/util/Sampling.py official repository unverified MIT (permissive) · 15f59459c16f27f5 · report
OctreeRender_trilinear_fast Caoang327/HexPlane/hexplane/render/render.py official repository unverified MIT (permissive) · 3ce2ce46f2775459 · report
RGBRender Caoang327/HexPlane/hexplane/model/HexPlane_Base.py official repository unverified MIT (permissive) · a0dc78e3351be1e1 · report
compute_dist_loss Caoang327/HexPlane/hexplane/render/util/Reg.py official repository unverified MIT (permissive) · cdfd7bcfcbb538bd · report
depth2dist Caoang327/HexPlane/hexplane/dataloader/ray_utils.py official repository unverified MIT (permissive) · 436d150f02b8247e · report
get_ray_directions Caoang327/HexPlane/hexplane/dataloader/ray_utils.py official repository unverified MIT (permissive) · c3d0dacfd7710891 · report
ndc2dist Caoang327/HexPlane/hexplane/dataloader/ray_utils.py official repository unverified MIT (permissive) · 49f979cd2bfd19f5 · report
positional_encoding Caoang327/HexPlane/hexplane/model/mlp.py official repository unverified MIT (permissive) · ff122aeac644ba09 · report
raw2alpha Caoang327/HexPlane/hexplane/model/HexPlane_Base.py official repository unverified MIT (permissive) · f651c6eca7673dec · report
rot_phi Caoang327/HexPlane/hexplane/dataloader/dnerf_dataset.py official repository unverified MIT (permissive) · c89b27166e424769 · report
rot_theta Caoang327/HexPlane/hexplane/dataloader/dnerf_dataset.py official repository unverified MIT (permissive) · ed30f8260a70edf0 · report
trans_t Caoang327/HexPlane/hexplane/dataloader/dnerf_dataset.py official repository unverified MIT (permissive) · 16cca4c69adfd265 · report

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NeRFNovel View Synthesis

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