{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:10:05Z","timestamp":1778083805158,"version":"3.51.4"},"reference-count":64,"publisher":"Association for Computing Machinery (ACM)","issue":"2","funder":[{"name":"HKUST","award":["L3065"],"award-info":[{"award-number":["L3065"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2026,4,30]]},"abstract":"<jats:p>\n                    Gaussian Splatting (GS) has proven to be highly effective in novel view synthesis, achieving high-quality and real-time rendering. However, its potential for reconstructing detailed 3D shapes has not been fully explored. Existing methods often suffer from limited shape accuracy due to the discrete and unstructured nature of Gaussian primitives, which complicates the shape extraction. While recent techniques like 2D GS have attempted to improve shape reconstruction, they often reformulate the Gaussian primitives in ways that reduce both rendering quality and computational efficiency. To address these problems, our work introduces a rasterized approach to render the depth maps and surface normal maps of general 3D Gaussian primitives. Our method not only significantly enhances shape reconstruction accuracy but also maintains the computational efficiency intrinsic to Gaussian Splatting. It achieves a Chamfer distance error comparable to Neuralangelo\u00a0Li et\u00a0al. [\n                    <jats:xref ref-type=\"bibr\">2023<\/jats:xref>\n                    ] on the DTU dataset and maintains similar computational efficiency as the original 3D GS methods. Our method is a significant advancement in Gaussian Splatting and can be directly integrated into existing Gaussian Splatting-based methods.\n                  <\/jats:p>","DOI":"10.1145\/3789201","type":"journal-article","created":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T21:08:12Z","timestamp":1768597692000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["RaDe-GS: Rasterizing Depth in Gaussian Splatting"],"prefix":"10.1145","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0050-7242","authenticated-orcid":false,"given":"Baowen","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering, The Hong Kong University of Science and Technology","place":["Hong Kong, Hong Kong"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2626-6029","authenticated-orcid":false,"given":"Chuan","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, The Hong Kong University of Science and Technology","place":["Hong Kong, Hong Kong"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6386-7072","authenticated-orcid":false,"given":"Rakesh","family":"Shrestha","sequence":"additional","affiliation":[{"name":"Simon Fraser University","place":["Burnaby, Canada"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4750-8875","authenticated-orcid":false,"given":"Yixun","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, The Hong Kong University of Science and Technology","place":["Hong Kong, Hong Kong"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3386-8805","authenticated-orcid":false,"given":"Xiao-Xiao","family":"Long","sequence":"additional","affiliation":[{"name":"School of Intelligence Science and Technology, Nanjing University","place":["Nanjing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4506-6973","authenticated-orcid":false,"given":"Ping","family":"Tan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, The Hong Kong University of Science and Technology","place":["Hong Kong, Hong Kong"]},{"name":"Simon Fraser University","place":["Burnaby, Canada"]}]}],"member":"320","published-online":{"date-parts":[[2026,3,11]]},"reference":[{"issue":"3","key":"e_1_3_1_2_1","first-page":"24","article-title":"PatchMatch: A randomized correspondence algorithm for structural image editing","volume":"28","author":"Barnes Connelly","year":"2009","unstructured":"Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B. 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