BlendedMVS_scenes

Quick lookup for BlendedMVS scenes.

Large

29 scenes

57f8d9bbe73f6760f10e916a	58eaf1513353456af3a1682a	5a4a38dad38c8a075495b5d2	5aa515e613d42d091d29d300	5af02e904c8216544b4ab5a2	5af28cea59bc705737003253	5afacb69ab00705d0cefdd5b	5b08286b2775267d5b0634ba
5b271079e0878c3816dacca4	5b558a928bbfb62204e77ba2	5b60fa0c764f146feef84df0	5b62647143840965efc0dbde	5b69cc0cb44b61786eb959bf	5b6e716d67b396324c2d77cb	5b6eff8b67b396324c5b2672	5b7a3890fc8fcf6781e2593a
5b864d850d072a699b32f4ae	5ba75d79d76ffa2c86cf2f05	5bb7a08aea1cfa39f1a947ab	5bbb6eb2ea1cfa39f1af7e0c	5be3a5fb8cfdd56947f6b67c	5be3ae47f44e235bdbbc9771	5bf17c0fd439231948355385	5bf18642c50e6f7f8bdbd492
5bf26cbbd43923194854b270	5bfc9d5aec61ca1dd69132a2	5bfe5ae0fe0ea555e6a969ca	5bff3c5cfe0ea555e6bcbf3a	5c1f33f1d33e1f2e4aa6dda4

Small

52 scenes

59338e76772c3e6384afbb15	59350ca084b7f26bf5ce6eb8	59d2657f82ca7774b1ec081d	59e864b2a9e91f2c5529325f	5a0271884e62597cdee0d0eb	5a3ca9cb270f0e3f14d0eddb	5a3cb4e4270f0e3f14d12f43	5a3f4aba5889373fbbc5d3b5
5a489fb1c7dab83a7d7b1070	5a48ba95c7dab83a7d7b44ed	5a48d4b2c7dab83a7d7b9851	5a563183425d0f5186314855	5a572fd9fc597b0478a81d14	5a57542f333d180827dfc132	5a618c72784780334bc1972d	5a6400933d809f1d8200af15
5a6464143d809f1d8208c43c	5a69c47d0d5d0a7f3b2e9752	5a7d3db14989e929563eb153	5a8aa0fab18050187cbe060e	5a969eea91dfc339a9a3ad2c	5ab85f1dac4291329b17cb50	5ab8b8e029f5351f7f2ccf59	5abc2506b53b042ead637d86
5ae2e9c5fe405c5076abc6b2	5b192eb2170cf166458ff886	5b21e18c58e2823a67a10dd8	5b22269758e2823a67a3bd03	5b78e57afc8fcf6781d0c3ba	5b950c71608de421b1e7318f	5bb8a49aea1cfa39f1aa7f75	5bce7ac9ca24970bce4934b6
5bcf979a6d5f586b95c258cd	5be47bf9b18881428d8fbc1d	5be883a4f98cee15019d5b83	5bea87f4abd34c35e1860ab5	5beb6e66abd34c35e18e66b9	5bf03590d4392319481971dc	5bf21799d43923194842c001	5bf3a82cd439231948877aed
5bfd0f32ec61ca1dd69dc77b	5c062d84a96e33018ff6f0a6	5c0d13b795da9479e12e2ee9	5c1892f726173c3a09ea9aeb	5c189f2326173c3a09ed7ef3	5c1af2e2bee9a723c963d019	5c1b1500bee9a723c96c3e78	5c1dbf200843bc542d8ef8c4
5c20ca3a0843bc542d94e3e2	5c2b3ed5e611832e8aed46bf	5c34300a73a8df509add216d	5c34529873a8df509ae57b58

Sculpture

32 scenes

58c4bb4f4a69c55606122be4	58cf4771d0f5fb221defe6da	58d36897f387231e6c929903	58f7f7299f5b5647873cb110	59056e6760bb961de55f3501	5947719bf1b45630bd096665	5947b62af1b45630bd0c2a02	59817e4a1bd4b175e7038d19
599aa591d5b41f366fed0d58	59e75a2ca9e91f2c5526005d	59ecfd02e225f6492d20fcc9	59f363a8b45be22330016cad	59f70ab1e5c5d366af29bf3e	59f87d0bfa6280566fb38c9a	5a48c4e9c7dab83a7d7b5cc7	5a588a8193ac3d233f77fbca
5a8315f624b8e938486e0bd8	5aa0f9d7a9efce63548c69a1	5aa235f64a17b335eeaf9609	5ab8713ba3799a1d138bd69a	5acf8ca0f3d8a750097e4b15	5adc6bd52430a05ecb2ffb85	5b2c67b5e0878c381608b8d8	5b3b353d8d46a939f93524b9
5b4933abf2b5f44e95de482a	5b908d3dc6ab78485f3d24a9	5ba19a8a360c7c30c1c169df	5bc5f0e896b66a2cd8f9bd36	5bccd6beca24970bce448134	5bd43b4ba6b28b1ee86b92dd	5be4ab93870d330ff2dce134	5bf7d63575c26f32dbf7413b

Citation

@article{yao2020blendedmvs,
  title={BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks},
  author={Yao, Yao and Luo, Zixin and Li, Shiwei and Zhang, Jingyang and Ren, Yufan and Zhou, Lei and Fang, Tian and Quan, Long},
  journal={Computer Vision and Pattern Recognition (CVPR)},
  year={2020}
}

Related repos

• MVSNet
• My CasMVS