并且基于高效注意力机制的分层 ViTs的微调MVSFormer可以在FPNs的基础上实现显著的提高。 其他贡献: 1.提出具有冻结ViT权重的MVSFormer,在很大程度上缓解了训练成本,并通过自蒸馏预训练的注意力图增强了竞争性能; 2.MVSFormer通过梯度积累加强的高效多尺度训练,可以泛化多种输入分辨率; 3.讨论了基于分类和回归的MVS方法...
核心思想:继MVSFormer使用Transformer进行特征提取之后,MVSFormer++提出在MVS的各个部分中继续深入探讨Transformer的作用。主要分为以下几点: 1.该方法包括将交叉视图信息注入预训练的DINOv2模型中,以促进MVS学习; 2.对特征编码器和代价体正则化采用了不同的注意力机制,分别关注特征和空间聚合; 3.发现一些设计细节会实质...
MVSFormer-P (frozen DINO-based). CUDA_VISIBLE_DEVICES=0,1 python train.py --config configs/config_mvsformer-p.json \ --exp_name MVSFormer-p \ --data_path ${YOUR_DTU_PATH} \ --DDP We should finetune our model based on BlendedMVS before the testing on T&T. CUDA_VISIBLE_DEVICES=...
Codes of MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth (TMLR2023) - MVSFormer/train.py at main · ewrfcas/MVSFormer
MVS Hosts Horticulture Society ; Former Ohio First Lady Sees Lab/ GreenhouseMcGinnis, Pam
Codes of MVSFormer++: Revealing the Devil in Transformer’s Details for Multi-View Stereo (ICLR2024) - maybeLx/MVSFormerPlusPlus
7 changes: 4 additions & 3 deletions 7 config/mvsformer++_ft.json Original file line numberDiff line numberDiff line change @@ -63,6 +63,7 @@ "no_combine_norm": false } }, "use_FMT": true, "FMT_config": { "attention_type": "Linear", "base_channel": 8, @@ -133,13 +13...
Codes of MVSFormer++: Revealing the Devil in Transformer’s Details for Multi-View Stereo (ICLR2024) - MVSFormerPlusPlus/nerf2mvsnet.py at main · maybeLx/MVSFormerPlusPlus
Codes of MVSFormer++: Revealing the Devil in Transformer’s Details for Multi-View Stereo (ICLR2024) - MVSFormerPlusPlus/utils.py at main · maybeLx/MVSFormerPlusPlus
Codes of MVSFormer++: Revealing the Devil in Transformer’s Details for Multi-View Stereo (ICLR2024) - MVSFormerPlusPlus/requirements.txt at main · maybeLx/MVSFormerPlusPlus