{"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/enhanced-invertible-encoding-for-learned","title":"Enhanced Invertible Encoding for Learned Image Compression","arxiv_id":"2108.03690","date":"2021-08-08","proceeding":null,"authors":["Yueqi Xie","Ka Leong Cheng","Qifeng Chen"],"abstract":"Although deep learning based image compression methods have achieved promising progress these days, the performance of these methods still cannot match the latest compression standard Versatile Video Coding (VVC). Most of the recent developments focus on designing a more accurate and flexible entropy model that can better parameterize the distributions of the latent features. However, few efforts are devoted to structuring a better transformation between the image space and the latent feature space. In this paper, instead of employing previous autoencoder style networks to build this transformation, we propose an enhanced Invertible Encoding Network with invertible neural networks (INNs) to largely mitigate the information loss problem for better compression. Experimental results on the Kodak, CLIC, and Tecnick datasets show that our method outperforms the existing learned image compression methods and compression standards, including VVC (VTM 12.1), especially for high-resolution images. Our source code is available at https://github.com/xyq7/InvCompress.","url_abs":"https://arxiv.org/abs/2108.03690v1","url_pdf":"https://arxiv.org/pdf/2108.03690v1.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":"enhanced-invertible-encoding-for-learned","repo_url":"https://github.com/xyq7/invcompress","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"image-compression","task_name":"Image Compression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2108.03690","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.03690"}},"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/xyq7/invcompress","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran_draft_wrong":2,"ran_honours":2,"unverified":5},"by_repo_kind":{"official":{"samples":9,"ran":4,"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":"f2cea3e9848ae52d","entry":"conv","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/models/utils.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/models/utils.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f2cea3e9848ae52d"}},{"code_sha256_prefix":"a94389b554ddc179","entry":"find_named_buffer","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/models/utils.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/models/utils.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"a94389b554ddc179"}},{"code_sha256_prefix":"feb29b32fc1ec50e","entry":"get_scale_table","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/models/priors.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/models/priors.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"feb29b32fc1ec50e"}},{"code_sha256_prefix":"4835059d9e92906b","entry":"subpel_conv3x3","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/layers/layers.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/layers/layers.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4835059d9e92906b"}},{"code_sha256_prefix":"4dec042f7272edd6","entry":"conv1x1","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/layers/layers.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/layers/layers.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":true,"mcp_get_code":{"code_sha256":"4dec042f7272edd6"}},{"code_sha256_prefix":"fce10771ab1d00db","entry":"conv3x3","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/layers/layers.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/layers/layers.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":true,"mcp_get_code":{"code_sha256":"fce10771ab1d00db"}},{"code_sha256_prefix":"0b4d7c9d1baaf828","entry":"find_named_module","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/models/utils.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/models/utils.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":true,"mcp_get_code":{"code_sha256":"0b4d7c9d1baaf828"}},{"code_sha256_prefix":"9abce2362ed0a82f","entry":"initialize_weights_xavier","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/models/our_utils.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/models/our_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"9abce2362ed0a82f"}},{"code_sha256_prefix":"d70970f2c1035eff","entry":"ste_round","repo":"xyq7/invcompress","repo_kind":"official","path":"codes/compressai/ops/ops.py","file_url":"https://github.com/xyq7/invcompress/blob/HEAD/codes/compressai/ops/ops.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d70970f2c1035eff"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}