{"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/collaging-on-internal-representations-an","title":"Spatially Controllable Image Synthesis with Internal Representation Collaging","arxiv_id":"1811.10153","date":"2018-11-26","proceeding":null,"authors":["Ryohei Suzuki","Masanori Koyama","Takeru Miyato","Taizan Yonetsuji","Huachun Zhu"],"abstract":"We present a novel CNN-based image editing strategy that allows the user to\nchange the semantic information of an image over an arbitrary region by\nmanipulating the feature-space representation of the image in a trained GAN\nmodel. We will present two variants of our strategy: (1) spatial conditional\nbatch normalization (sCBN), a type of conditional batch normalization with\nuser-specifiable spatial weight maps, and (2) feature-blending, a method of\ndirectly modifying the intermediate features. Our methods can be used to edit\nboth artificial image and real image, and they both can be used together with\nany GAN with conditional normalization layers. We will demonstrate the power of\nour method through experiments on various types of GANs trained on different\ndatasets. Code will be available at\nhttps://github.com/pfnet-research/neural-collage.","url_abs":"http://arxiv.org/abs/1811.10153v2","url_pdf":"http://arxiv.org/pdf/1811.10153v2.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":"collaging-on-internal-representations-an","repo_url":"https://github.com/quolc/neural-collage","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-generation","task_name":"Image Generation"}],"methods":[{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"conditional-batch-normalization","method_name":"Conditional Batch Normalization"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"dense-connections","method_name":"Dense Connections"},{"method_slug":"feedforward-network","method_name":"Feedforward Network"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.10153","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1811.10153"}},"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/quolc/neural-collage","reach":null}],"summary":{"ran_honours":1},"by_repo_kind":{"listed":{"samples":1,"ran":1,"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":0,"samples":[{"code_sha256_prefix":"b5b848d8a6a845f6","entry":"hex2val","repo":"quolc/neural-collage","repo_kind":"listed","path":"demo_spatial_translation.py","file_url":"https://github.com/quolc/neural-collage/blob/HEAD/demo_spatial_translation.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b5b848d8a6a845f6"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}