CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance
Fields from Sparse Inputs
CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance
Fields from Sparse Inputs
Neural Radiance Fields (NeRF) have shown impressive capabilities for photorealistic novel view synthesis when trained on dense inputs. However, when trained on sparse inputs, NeRF typically encounters issues of incorrect density or color predictions, mainly due to insufficient coverage of the scene causing partial and sparse supervision, thus leading to …