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Paper Citation Record · LEDGER

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.27943.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.27943 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:41:21.892994Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 7601ebbb-c20f-4e04-804b-ad8762923682 · outbound

This paper cites Pyramidal parametrics.ACM SIGGRAPH Computer Graphics, 17 (3):1–11, 1983.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Pyramidal parametrics.ACM SIGGRAPH Computer Graphics, 17 (3):1–11, 1983

Reference 1

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Observation 92c613a3-b191-4696-af76-6ccb7527ff1a · outbound

This paper cites Delp and Owen Robert Mitchell.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Delp and Owen Robert Mitchell

Reference 2

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source=pdf_text observed=2026-07-31T22:41:18.933003Z digest=sha256:899803ccfdac8f2b951f849b5f58248b109b2e4ef4cc8c2e6c4f41325c046506

Observation dbce67cd-20b2-4a87-854a-627cd7fd1b2a · outbound

This paper cites Iourcha, Krishna S.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Iourcha, Krishna S

Reference 3

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source=pdf_text observed=2026-07-31T22:41:19.015236Z digest=sha256:2978f1068c1de6fbe94638d7be1cd22d6aae803f933ecac6ec02633b3fcf7f77

Observation 91ed4549-4637-47e3-ba1c-7c7bed81a0ef · outbound

This paper cites Texture block compression in Direct3D 11.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Texture block compression in Direct3D 11

Reference 4

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source=pdf_text observed=2026-07-31T22:41:19.123257Z digest=sha256:2cf46835d8dc941254fe9d0e75a35b08928ac4becc6a9b6ca381edac4766ea87

Observation 0927cec3-3762-4828-a530-ea688fb44646 · outbound

This paper cites Adap- tive scalable texture compression.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Adap- tive scalable texture compression

Reference 5

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source=pdf_text observed=2026-07-31T22:41:19.181273Z digest=sha256:692a30ed86c0d0233b7f0c8b2c61df5a2e0a3b7788c541e7960d071bc85dab97

Observation 374cbb16-5838-4cce-8935-00bf52f97e65 · outbound

This paper cites iPACKMAN: High-quality, low- complexity texture compression for mobile phones.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians iPACKMAN: High-quality, low- complexity texture compression for mobile phones

Reference 6

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source=pdf_text observed=2026-07-31T22:41:19.211851Z digest=sha256:471479b7821eaff1eb7b4e5baca7317369a289aa5464d9f1aa027edbc3732f3b

Observation dfa7b7e0-6010-454b-8f71-3242871c9944 · outbound

This paper cites ETC2: Texture compression using invalid combinations.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians ETC2: Texture compression using invalid combinations

Reference 7

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source=pdf_text observed=2026-07-31T22:41:19.305595Z digest=sha256:03db0f8173946c5f10210698295f3a1699bba975ada4dbb9d2b56a7b7b1ec6fb

Observation dad20124-bc5b-4587-84c1-3a343b9837d1 · outbound

This paper cites JPEG XL next-generation image compression architecture and coding tools.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians JPEG XL next-generation image compression architecture and coding tools

Reference 8

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source=pdf_text observed=2026-07-31T22:41:19.392039Z digest=sha256:21b51cf543ae7468dc67e31a8535ff154876105abc2f561087820ffec4d5072f

Observation 2fa57768-a5c5-422b-9293-2b50fcb20921 · outbound

This paper cites Trudeau, Nathan E.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Trudeau, Nathan E

Reference 9

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source=pdf_text observed=2026-07-31T22:41:19.449607Z digest=sha256:954f6a1b1223f4978f49c0ae776076aece567a09c051d767e153cfe2b1689503

Observation e577a113-5011-4155-a3d2-3377ed6c5cad · outbound

This paper cites Instant neu- ral graphics primitives with a multiresolution hash encoding.ACM Transactions on Graphics, 41(4):102:1–102:15, 2022.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Instant neu- ral graphics primitives with a multiresolution hash encoding.ACM Transactions on Graphics, 41(4):102:1–102:15, 2022

Reference 10

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source=pdf_text observed=2026-07-31T22:41:19.504291Z digest=sha256:9e47d1ce32085a22e6703072c85993b586cb4501a200e4384b3a78e88dc9d895

Observation c8b3b3de-b7f1-4d7b-8f9a-5bffbf348a7b · outbound

This paper cites Random-access neural compression of material textures.ACM Transactions on Graphics, 42(4):88:1–88:25, 2023.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Random-access neural compression of material textures.ACM Transactions on Graphics, 42(4):88:1–88:25, 2023

Reference 11

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source=pdf_text observed=2026-07-31T22:41:19.543628Z digest=sha256:c228fa902dd86f166e5170d090e963e08734d87c878f4972cfe51661ffb82b7b

Observation 41637ee9-26c3-4df2-91e8-cdd48e7386e2 · outbound

This paper cites Neural texture block compression.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Neural texture block compression

Reference 12

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source=pdf_text observed=2026-07-31T22:41:19.651306Z digest=sha256:a0fe695901a7bd309af0e88f1127293fb37518aac2a2c80fa6e29d690d1dd797

Observation 8571a38d-bdec-470e-ae72-af66c9f4bbee · outbound

This paper cites Real-time neural materials using block-compressed features.Computer Graphics Forum, 43(2):e15013, 2024.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Real-time neural materials using block-compressed features.Computer Graphics Forum, 43(2):e15013, 2024

Reference 13

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source=pdf_text observed=2026-07-31T22:41:19.696163Z digest=sha256:b2ba9afbe56c03f6c5bd08d8b9821e1af0eccd9fbde46b0d59276a9736a5dd30

Observation 291bbd20-fc5a-40a9-a130-5d0c03360970 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Srinivasan, Matthew Tancik, Jonathan T

Reference 14

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source=pdf_text observed=2026-07-31T22:41:19.766149Z digest=sha256:c46dc54a9ab4430f112824a709d92740191eb74f50fef32db45fd705358aa936

Observation c30a8877-6481-430d-9a5b-f7c8d6cad26f · outbound

This paper cites 3D Gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):139:1–139:14, 2023.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians 3D Gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):139:1–139:14, 2023

Reference 15

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source=pdf_text observed=2026-07-31T22:41:19.823835Z digest=sha256:43cf07732c67571b0143b00ff2d58750fecda76f5a7ef73755c95682720ad279

Observation a67dcd23-8a87-4a61-b704-ef08be331321 · outbound

This paper cites Image-GS: Content-adaptive image representation via 2D Gaussians.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Image-GS: Content-adaptive image representation via 2D Gaussians

Reference 16

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source=pdf_text observed=2026-07-31T22:41:19.874250Z digest=sha256:38c4bb6c0bd71fcdcb2ae2d5d5ff8e0be9a744ba36db828382c63e54009f1b32

Observation 21d4aef5-fe5c-4e8b-a963-5be1c320b11d · outbound

This paper cites GaussianImage: 1000 FPS image representation and compression by 2D Gaussian splatting.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians GaussianImage: 1000 FPS image representation and compression by 2D Gaussian splatting

Reference 17

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source=pdf_text observed=2026-07-31T22:41:19.979912Z digest=sha256:2589439ca6784b576b2f5a31315a75b562be183509e3197946258d5dd9d0b46c

Observation 2ff9cc2c-f805-4985-8648-efe04ac77bd8 · outbound

This paper cites an unresolved cited work.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Unresolved cited work

Reference 18

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source=pdf_text observed=2026-07-31T22:41:20.022998Z digest=sha256:889ed747637ab11447ff9721090607bab764b84c0a282e87365b44e3fbaa394c

Observation b3f4b473-6f31-4ffa-b084-6ec9a9a013bd · outbound

This paper cites an unresolved cited work.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Unresolved cited work

Reference 19

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source=pdf_text observed=2026-07-31T22:41:20.060826Z digest=sha256:f03360b860f8aa10bdea4f2b84a62017aaa73ec70c610f3e9171e79dc4790b0f

Observation ffeef8a7-1cd4-435e-a8ca-6e3f557e7b7f · outbound

This paper cites Image coding using wavelet transform.IEEE Transactions on Image Processing, 1(2): 205–220, 1992.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Image coding using wavelet transform.IEEE Transactions on Image Processing, 1(2): 205–220, 1992

Reference 20

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source=pdf_text observed=2026-07-31T22:41:20.097169Z digest=sha256:d28ee6786c9f9e98b2e96da30200e15b5909c15f870539f6e1f727206983a95e

Observation a2e34fa9-9b76-4c90-b80c-633f222beb0f · outbound

This paper cites AV1 image file format (AVIF).

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians AV1 image file format (AVIF)

Reference 21

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source=pdf_text observed=2026-07-31T22:41:20.148821Z digest=sha256:625441dd7c08dc4311fa42de38119615a58d95580f76a1c924d3559cf7c61050

Observation 0a1e97b8-6b41-456f-a48d-307c4308acbc · outbound

This paper cites DeFanti, Jeff Frederiksen, Stephen A.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians DeFanti, Jeff Frederiksen, Stephen A

Reference 22

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source=pdf_text observed=2026-07-31T22:41:20.187561Z digest=sha256:f14af3920973f603e5d313659576d00cf6a7eeb53d98a9f8c5ac418b1b7a989b

Observation f9a2796e-732a-475a-8169-458ef718dc73 · outbound

This paper cites an unresolved cited work.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Unresolved cited work

Reference 23

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source=pdf_text observed=2026-07-31T22:41:20.241469Z digest=sha256:6db4f40bdbc7f4793b4a9ef9c06dd9b08b29cec5e5b8d7c493b6ae06a7f92001

Observation 933f2e4b-d542-4cfe-b031-fdf3078c2058 · outbound

This paper cites Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T

Reference 24

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source=pdf_text observed=2026-07-31T22:41:20.317657Z digest=sha256:88c9c320bd246d4ce0ee0c654be972aa2145416f960c3cde79b8357f3b8bfea4

Observation 523a0d39-516e-48fc-a483-eedca40ef534 · outbound

This paper cites COIN: COmpression with implicit neural representations.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians COIN: COmpression with implicit neural representations

Reference 25

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source=pdf_text observed=2026-07-31T22:41:20.347289Z digest=sha256:c01f48dd397e170dd7243f2effc4ff712d43c90681730457afde3bb246575999

Observation a6544c2a-f43f-4615-a830-b98500dc98a5 · outbound

This paper cites COIN++: Neural compression across modalities.Transactions on Machine Learning Research, 2022.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians COIN++: Neural compression across modalities.Transactions on Machine Learning Research, 2022

Reference 26

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source=pdf_text observed=2026-07-31T22:41:20.404785Z digest=sha256:0cad222910c8d8b498395e9f99db960d536fc4bb5e70886578f4b4d8f1cdc9c8

Observation 8a11fa64-c2a2-41e7-b3c3-6eef1009b6b7 · outbound

This paper cites an unresolved cited work.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Unresolved cited work

Reference 27

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source=pdf_text observed=2026-07-31T22:41:20.456846Z digest=sha256:6d58e411e697ac8bfbda19f004176fd7ca3f59e2b56cc0f7717c97415e215d96

Observation c6e0f07d-187b-490e-99f3-1641c4e88d1a · outbound

This paper cites Variable bitrate neural fields.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Variable bitrate neural fields

Reference 28

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source=pdf_text observed=2026-07-31T22:41:20.505144Z digest=sha256:14794f79b2b5d750d5200ab58f57e58fc62b8f3558be7134b5beb7b160b7039d

Observation 2a6a3e98-93ef-4ef2-b7fe-7144f9893e6a · outbound

This paper cites Neural layered BRDFs.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Neural layered BRDFs

Reference 29

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source=pdf_text observed=2026-07-31T22:41:20.561412Z digest=sha256:f00d55c93a65280c4602f56914476ebdec9d1e7573913325bcb71acc3e0d55a7

Observation c32437f9-3b7e-4792-941c-56b51ad4db62 · outbound

This paper cites MetaLayer: A meta-learned BSDF model for layered materials.ACM Transactions on Graphics, 42(6):222:1–222:15, 2023.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians MetaLayer: A meta-learned BSDF model for layered materials.ACM Transactions on Graphics, 42(6):222:1–222:15, 2023

Reference 30

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source=pdf_text observed=2026-07-31T22:41:20.602430Z digest=sha256:247328e0a184972bcde5e66cbffe7c7dd0a813ad4950409c3515113ffd46dd04

Observation 0fe3c294-19d8-4405-9fe0-d0ab77bdab16 · outbound

This paper cites NeuMIP: Multi-resolution neural materials.ACM Transactions on Graphics, 40(4):175:1–175:13, 2021.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians NeuMIP: Multi-resolution neural materials.ACM Transactions on Graphics, 40(4):175:1–175:13, 2021

Reference 31

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source=pdf_text observed=2026-07-31T22:41:20.654902Z digest=sha256:ea35402d35d46faebf3ba952212dac4a95d04cd46b076cc981c49434f2152338

Observation bc0fca82-7445-43ca-9b92-fa105236d820 · outbound

This paper cites an unresolved cited work.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Unresolved cited work

Reference 32

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source=pdf_text observed=2026-07-31T22:41:20.692914Z digest=sha256:5d0703b22031ec222009d9f174dea1b1c9465f2acd88604552db1c24641fe13b

Observation d3b1e81a-2f02-4435-b4dd-db33d0e54dde · outbound

This paper cites Towards comprehensive neural materials: Dynamic structure- preserving synthesis with accurate silhouette at instant inference speed.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Towards comprehensive neural materials: Dynamic structure- preserving synthesis with accurate silhouette at instant inference speed

Reference 33

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source=pdf_text observed=2026-07-31T22:41:20.737430Z digest=sha256:4631ac3b8f5e1bd66220158b3ec3988c009de653a23cc646951a681042f4de9f

Observation 417463b7-a635-47d0-aff0-ecb97e2bbdad · outbound

This paper cites Model selection and estimation in regression with grouped variables.Journal of the Royal Statistical Society Series B: Statistical Methodology, 68(1):49–67, 2006.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Model selection and estimation in regression with grouped variables.Journal of the Royal Statistical Society Series B: Statistical Methodology, 68(1):49–67, 2006

Reference 34

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source=pdf_text observed=2026-07-31T22:41:20.775518Z digest=sha256:8deac854d2ff5c038af17d084ef8b4273a7d2d7daf5bb3180bd37bd63fb5333c

Observation 869ff51e-fb0f-4634-b383-2424b3684374 · outbound

This paper cites Order-independent transparency using per-pixel linked lists.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Order-independent transparency using per-pixel linked lists

Reference 35

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source=pdf_text observed=2026-07-31T22:41:20.868904Z digest=sha256:0cda00bd9caed47ff503f82b5726faa00596c548f325af2d0917f826a60099e9

Observation 7314d7f9-ae7b-4fb7-8d18-615f75fd4ada · outbound

This paper cites TexVerse: A Universe of 3D Objects with High-Resolution Textures.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians TexVerse: A Universe of 3D Objects with High-Resolution Textures

Reference 36

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source=pdf_text observed=2026-07-31T22:41:20.899406Z digest=sha256:8644de2e8555f3b10180e57b91bb06d385858acdfb00e6e84bb799963467b027

Observation 32b9e75b-2423-4ae9-8889-0d46d4704dbd · outbound

This paper cites FreeStylized stylized textures.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians FreeStylized stylized textures

Reference 37

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source=pdf_text observed=2026-07-31T22:41:20.957291Z digest=sha256:6bbf3547ada2054641b988602a8c635255e118cf27074ee43140ab2fae348d7c

Observation 21a08617-8e63-4f24-8eed-cee81aa6b98a · outbound

This paper cites Scope of validity of PSNR in image/video quality assessment.Electronics Letters, 44(13):800–801, 2008.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Scope of validity of PSNR in image/video quality assessment.Electronics Letters, 44(13):800–801, 2008

Reference 38

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source=pdf_text observed=2026-07-31T22:41:21.058926Z digest=sha256:e2882e7d9da20c1d3b90402a67d189b11a1ae32e13080beedb348ca4c6fc2ed2

Observation 7c3b652a-bf21-46db-b8e5-8f7bb383ab35 · outbound

This paper cites Bovik, Hamid R.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Bovik, Hamid R

Reference 39

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source=pdf_text observed=2026-07-31T22:41:21.179433Z digest=sha256:ab34a8152939d8c5b9ea5656a7a0f12374e6f5a28a9024528bfbdfc0cae8f91e

Observation 69473c39-de76-4a24-807a-54146d40f70c · outbound

This paper cites Fairchild.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Fairchild

Reference 40

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source=pdf_text observed=2026-07-31T22:41:21.236477Z digest=sha256:ccbe6423769a02b62ee2f2a5856f1cddbdc0cc205bb336410740f0e36d0fb009

Observation eca1b6fd-df0a-476e-9018-5a37b3831c4e · outbound

This paper cites astcenc: The Arm ASTC encoder.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians astcenc: The Arm ASTC encoder

Reference 41

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source=pdf_text observed=2026-07-31T22:41:21.293060Z digest=sha256:606cfe91c40ecca6d15c702663ca7322765300af9c382653532a508a3ae1792b

Observation da097403-2d29-4999-8407-94051e83b3d4 · outbound

This paper cites Kingma and Jimmy Ba.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Kingma and Jimmy Ba

Reference 42

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source=pdf_text observed=2026-07-31T22:41:21.355639Z digest=sha256:d422e813ac521f0d29b551c8e80c46209cf7036b7d7f44c97b8d34e6ea8e7fc5

Observation 50c9877e-3ddf-4c1d-bb4f-2f09f5376c19 · outbound

This paper cites SplineSplat: Repre- senting radiance fields using B-splines.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians SplineSplat: Repre- senting radiance fields using B-splines

Reference 43

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source=pdf_text observed=2026-07-31T22:41:21.369646Z digest=sha256:356993f32433aea503f9c6f0373d94a09044b8b3e5c849636d93e85651c3cc19

Observation fcacfb5b-53cd-4610-adb1-3cd84fcd0d34 · outbound

This paper cites Deformable radial kernel splatting.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Deformable radial kernel splatting

Reference 44

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source=pdf_text observed=2026-07-31T22:41:21.416117Z digest=sha256:7467c16b1358348c7c0335d94b523561526d219bfcce3cf9cf5dbcedbbc63f15

Observation d927fba3-8017-48a5-80c8-315784bd544d · outbound

This paper cites A$^2$TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians A$^2$TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation

Reference 45

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source=pdf_text observed=2026-07-31T22:41:21.459647Z digest=sha256:62797dac45ed946ef724f139d2ed8c5cec7e0c6a5d2b976b4580420f75e5cf0d

Observation 3618029b-e045-4e0d-9ed6-aa0a937d0c47 · outbound

This paper cites EdgeGaussians - 3D edge mapping via Gaussian splatting.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians EdgeGaussians - 3D edge mapping via Gaussian splatting

Reference 46

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source=pdf_text observed=2026-07-31T22:41:21.509907Z digest=sha256:eb5035183ef0b03319ffe6b2b40937d9bd1ec26f6e30f108dfef068f4a50c525

Observation fc3a8952-2275-45c7-8c15-e1ac0d1c30ac · outbound

This paper cites Baraniuk.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Baraniuk

Reference 47

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source=pdf_text observed=2026-07-31T22:41:21.561793Z digest=sha256:152b5ddc2d57396a6cba259087d0937c3eae690492c4a6a2af973f0484bb8dd2

Observation 921d0e30-1ddc-4d63-8d73-03b69858ad80 · outbound

This paper cites Texture atlas compression based on repeated content removal.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Texture atlas compression based on repeated content removal

Reference 48

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source=pdf_text observed=2026-07-31T22:41:21.592963Z digest=sha256:f31e8403a589afb8449dde37b390a1365bb982845ad2a07a4d701bb432180283

Observation 00077aca-33df-42e4-bd2a-0195e34dc492 · outbound

This paper cites Texture size reduction through symmetric overlap and texture carving.ACM Transactions on Graphics, 44(1):11:1–11:20, 2025.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Texture size reduction through symmetric overlap and texture carving.ACM Transactions on Graphics, 44(1):11:1–11:20, 2025

Reference 49

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source=pdf_text observed=2026-07-31T22:41:21.635200Z digest=sha256:5c192abf5869c197b17d1bf83f74285e1c4b0ca21bb952f33235fbc53d9aa806

Observation f3152298-17a8-4ac7-87ec-44afb292e442 · outbound

This paper cites Richter, and Vladlen Koltun.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Richter, and Vladlen Koltun

Reference 50

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source=pdf_text observed=2026-07-31T22:41:21.682254Z digest=sha256:f59f32f8171fcfb19d653b4fce6e707d282218da902b99414c84a10c20c89016

Observation 9f332f2b-c20d-43b3-a286-a5d7281582eb · outbound

This paper cites NVIDIA Texture Tools Exporter.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians NVIDIA Texture Tools Exporter

Reference 51

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source=pdf_text observed=2026-07-31T22:41:21.738964Z digest=sha256:b25de3832bd60dfb38086920470d7ac0641d1ee82a615dc67da2d597875a9bee

Observation e08af00b-7a3e-4ea0-a9e7-d36c236057c4 · outbound

This paper cites Announcing the NVIDIA Texture Tools Exporter 2020.1.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Announcing the NVIDIA Texture Tools Exporter 2020.1

Reference 52

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source=pdf_text observed=2026-07-31T22:41:21.783625Z digest=sha256:9bf15b3bf81692acdea37f0fee3f044a50a5fac7d5c0a35776d7690d7c3d7374

Observation 2dd03896-9a65-4c06-a0b9-95e39aefd4bf · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Compact Representation of Mipmapped SVBRDFs via Shared Gaussians Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 53

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source=pdf_text observed=2026-07-31T22:41:21.892994Z digest=sha256:4b04b788d1c580169d385869db4ca507ab22e90c564e6b87ca81125f60e496a6

Pith citing papers

No inbound Pith citation observations are available.