{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/monocular-dynamic-view-synthesis-a-reality","title":"Monocular Dynamic View Synthesis: A Reality Check","arxiv_id":"2210.13445","date":"2022-10-24","proceeding":null,"authors":["Hang Gao","RuiLong Li","Shubham Tulsiani","Bryan Russell","Angjoo Kanazawa"],"abstract":"We study the recent progress on dynamic view synthesis (DVS) from monocular video. Though existing approaches have demonstrated impressive results, we show a discrepancy between the practical capture process and the existing experimental protocols, which effectively leaks in multi-view signals during training. We define effective multi-view factors (EMFs) to quantify the amount of multi-view signal present in the input capture sequence based on the relative camera-scene motion. We introduce two new metrics: co-visibility masked image metrics and correspondence accuracy, which overcome the issue in existing protocols. We also propose a new iPhone dataset that includes more diverse real-life deformation sequences. Using our proposed experimental protocol, we show that the state-of-the-art approaches observe a 1-2 dB drop in masked PSNR in the absence of multi-view cues and 4-5 dB drop when modeling complex motion. Code and data can be found at https://hangg7.com/dycheck.","url_abs":"https://arxiv.org/abs/2210.13445v1","url_pdf":"https://arxiv.org/pdf/2210.13445v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"monocular-dynamic-view-synthesis-a-reality","repo_url":"https://github.com/kair-bair/dycheck","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"jax","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"dynamic-reconstruction","task_name":"Dynamic Reconstruction"}],"methods":[],"datasets_introduced":[{"slug":"iphone-dataset-monocular-dynamic-view","name":"iPhone (Monocular Dynamic View Synthesis)","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/dynamic-reconstruction-on-iphone-dataset","task":"Dynamic Reconstruction","dataset":"iPhone (Monocular Dynamic View Synthesis)","model":"T-NeRF","rank_in_archive_order":5,"of":7,"metrics":{"LPIPS":"0.55"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2210.13445","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.13445"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/kair-bair/dycheck","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"unverified":2},"by_repo_kind":{"official":{"samples":2,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":2,"samples":[{"code_sha256_prefix":"ec2408d128a20002","entry":"compute_dist_loss","repo":"kair-bair/dycheck","repo_kind":"official","path":"dycheck/core/losses/dist.py","file_url":"https://github.com/kair-bair/dycheck/blob/HEAD/dycheck/core/losses/dist.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":false,"mcp_get_code":{"code_sha256":"ec2408d128a20002"}},{"code_sha256_prefix":"be06730070c6bebb","entry":"compute_ssim","repo":"kair-bair/dycheck","repo_kind":"official","path":"dycheck/core/metrics/image.py","file_url":"https://github.com/kair-bair/dycheck/blob/HEAD/dycheck/core/metrics/image.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":false,"mcp_get_code":{"code_sha256":"be06730070c6bebb"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}