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Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"
WACV 2023 XNeRF: Explicit Neural Radiance Field for Multi-Scene 360° Insufficient RGB-D Views
CVPR 2024 🏡Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
The main features of apchenstu/mvsnerf are: Generalization, Generalization Models.
Projects with overlapping indexed features include: zubair-irshad/neo-360 — Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. autonomousvision/graf — Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis". alextrevithick/grf — 🔥 General Radiance Field (ICCV, 2021). haoyizhu/xnerf — [WACV 2023] XNeRF: Explicit Neural Radiance Field for Multi-Scene 360° Insufficient RGB-D Views. ruili3/know-your-neighbors — [CVPR 2024] 🏡Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. sxyu/pixel-nerf — PixelNeRF Official Repository.
