Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy | Paper Citation Record

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Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

Reference 1

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Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

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Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

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Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

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Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

Reference 6

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Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

Reference 7

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Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

Reference 8

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This paper cites Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields

Reference 9

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This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 10

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This paper cites The physics of optimal decision making: a formal analysis of models of perfor- mance in two-alternative forced-choice tasks.Psychological review, 113(4):700, 2006.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy The physics of optimal decision making: a formal analysis of models of perfor- mance in two-alternative forced-choice tasks.Psychological review, 113(4):700, 2006

Reference 11

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Observation 817b48d7-ab68-41e5-b305-efb771eed035 · outbound

This paper cites Eva2: Exploiting temporal redundancy in live computer vision.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Eva2: Exploiting temporal redundancy in live computer vision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.493598Z

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Observation 143907a5-31d7-41a0-9af0-1ca858f067cc · outbound

This paper cites Passthrough+ real-time stereoscopic view synthesis for mobile mixed reality.Proceedings of the ACM on Computer Graphics and Interactive Techniques, 3(1):1–17, 2020.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Passthrough+ real-time stereoscopic view synthesis for mobile mixed reality.Proceedings of the ACM on Computer Graphics and Interactive Techniques, 3(1):1–17, 2020

Reference 13

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Observation b3cad3a2-e189-4707-8345-92b685aee394 · outbound

This paper cites A Survey on 3D Gaussian Splatting.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy A Survey on 3D Gaussian Splatting

Reference 14

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Observation 452d1506-7252-453f-9df2-858aa2a9f95b · outbound

This paper cites Geometry-guided progressive nerf for generalizable and efficient neural human rendering.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Geometry-guided progressive nerf for generalizable and efficient neural human rendering

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.473576Z

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Observation 749eb2bc-6c23-48d7-b0f2-dcebc4d54ede · outbound

This paper cites Quicktime vr: An image-based approach to virtual envi- ronment navigation.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Quicktime vr: An image-based approach to virtual envi- ronment navigation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.463481Z

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Observation def6bcff-1630-4013-8b18-5fd8e954ebd7 · outbound

This paper cites View interpolation for image synthe- sis.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy View interpolation for image synthe- sis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.454397Z

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Observation e25878a5-1308-4c7b-8163-de63e9e4cb6d · outbound

This paper cites Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures

Reference 18

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Observation 56fe6aa0-610f-473a-9c3f-b42890d40d57 · outbound

This paper cites An overview of the sparse basic linear algebra subprograms: The new standard from the blas technical forum.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy An overview of the sparse basic linear algebra subprograms: The new standard from the blas technical forum

Reference 19

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Observation 9bfa7327-fb72-4ffe-af2a-3486696303fc · outbound

This paper cites LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

Reference 20

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Observation 68fab5ef-e768-438f-9cdd-a6f5d388ec7b · outbound

This paper cites Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians

Reference 21

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Observation 596fcbb9-04e1-4ee2-aa60-6d6c7f25d128 · outbound

This paper cites Real-time gaze tracking with event-driven eye segmentation.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Real-time gaze tracking with event-driven eye segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.426828Z

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Observation af914443-1e1b-44e9-9248-bd44ff5e79dd · outbound

This paper cites Fast and accurate: Video enhancement using sparse depth.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Fast and accurate: Video enhancement using sparse depth

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.415166Z

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Observation bd61adb2-1f3a-4a6a-afcc-5c8c11db9427 · outbound

This paper cites Potamoi: Accelerating neural rendering via a unified streaming architecture.ACM Transactions on Architecture and Code Optimization, 2024.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Potamoi: Accelerating neural rendering via a unified streaming architecture.ACM Transactions on Architecture and Code Optimization, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.404507Z

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Observation 6eab996c-8d9d-4a40-9f73-c7966c9ebd86 · outbound

This paper cites Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations

Reference 25

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Observation d64ae693-949a-400f-91d0-af3428f9aa0b · outbound

This paper cites Asv: Accelerated stereo vision system.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Asv: Accelerated stereo vision system

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Observation bac611b7-3b7a-469c-bcfb-e3f2ec6029ca · outbound

This paper cites Gen-nerf: Efficient and generalizable neural radiance fields via algorithm-hardware co-design.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Gen-nerf: Efficient and generalizable neural radiance fields via algorithm-hardware co-design

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.377297Z

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Observation 641d67a4-b96d-4056-94d8-c9bfff0d1388 · outbound

This paper cites Dynamic warp formation and scheduling for efficient gpu control flow.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Dynamic warp formation and scheduling for efficient gpu control flow

Reference 28

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Observation 46c70192-4dc2-4c59-895c-01f16c52cf71 · outbound

This paper cites NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting).

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)

Reference 29

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This paper cites Tetris: Scalable and efficient neural network acceleration with 3d memory.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Tetris: Scalable and efficient neural network acceleration with 3d memory

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.345267Z

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Observation 8eb72430-a031-4a53-a5c5-04f774c4044e · outbound

This paper cites Megatrack: monochrome egocentric articulated hand-tracking for virtual reality.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Megatrack: monochrome egocentric articulated hand-tracking for virtual reality

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.291789Z

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Observation f92443c6-ddd3-4a7c-94a0-1a7da495ab42 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Deep blending for free-viewpoint image-based rendering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.259073Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5a5185f-7bb7-47fd-a187-9adb37e8805d · outbound

This paper cites Baking neural radiance fields for real-time view synthesis.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Baking neural radiance fields for real-time view synthesis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.247077Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6eded0dc-c64d-43c1-bc3e-31ac9c98f705 · outbound

This paper cites Head movement amplitude and velocity during a common visual task.Investigative Ophthalmology & Visual Science, 43(13):4668–4668, 2002.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Head movement amplitude and velocity during a common visual task.Investigative Ophthalmology & Visual Science, 43(13):4668–4668, 2002

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.237012Z

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Observation e363375e-ac52-4c5f-a393-358c8b261e32 · outbound

This paper cites Efficientnerf efficient neural radiance fields.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Efficientnerf efficient neural radiance fields

Reference 35

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Source-reported events for the cited work

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Observation 27e4a2c9-b3f0-4d5f-ae38-e39e1335918b · outbound

This paper cites 2d gaussian splatting for geometrically accurate radiance fields.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy 2d gaussian splatting for geometrically accurate radiance fields

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:11.304702Z

Source-reported events for the cited work

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Observation c76b25f7-f1bb-4e76-9ff8-a49f36f6f0ac · outbound

This paper cites Neuman: Neural human radiance field from a single video.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Neuman: Neural human radiance field from a single video

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:11.357196Z

Source-reported events for the cited work

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Observation b37c5280-63d7-4a3d-99e3-e6738d120ef1 · outbound

This paper cites Parallel multiple-bounce irradiance caching.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Parallel multiple-bounce irradiance caching

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.203909Z

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Observation 6674cc64-ef76-42dd-a1c3-44ce5deb474e · outbound

This paper cites Adapt- ing cache partitioning algorithms to pseudo-lru replacement policies.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Adapt- ing cache partitioning algorithms to pseudo-lru replacement policies

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.189052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ede1cd6-abaf-4dd8-94d1-02c485cfe588 · outbound

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

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):1–14, 2023

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Source-reported events for the cited work

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Observation 974bd9f6-8a9e-4a0e-a60d-f00004133b67 · outbound

This paper cites A hierarchical 3d gaussian repre- sentation for real-time rendering of very large datasets.ACM Transactions on Graphics (TOG), 43(4):1–15, 2024.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy A hierarchical 3d gaussian repre- sentation for real-time rendering of very large datasets.ACM Transactions on Graphics (TOG), 43(4):1–15, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.168583Z

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Observation 4fc9fd34-fa52-4919-a3f9-f206565fdd44 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4), 2017.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4), 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.156996Z

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Observation f3c06ac5-477a-49df-94ab-a09c2219e312 · outbound

This paper cites Radiance caching for efficient global illumination computation.IEEE Transactions on Visualization and Computer Graphics, 11(5):550–561, 2005.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Radiance caching for efficient global illumination computation.IEEE Transactions on Visualization and Computer Graphics, 11(5):550–561, 2005

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.143443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac3cf296-6a2d-4e0f-9e4b-c6df21bd954d · outbound

This paper cites Compact 3D Gaussian Representation for Radiance Field.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Compact 3D Gaussian Representation for Radiance Field

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:11.926883Z

Source-reported events for the cited work

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Observation 5bfe3ce2-f9f4-4d25-90b3-82b64623a05f · outbound

This paper cites Neurex: A case for neural rendering acceleration.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Neurex: A case for neural rendering acceleration

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.132197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b2b7199-66c3-4b16-aba8-953744b272d7 · outbound

This paper cites VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:12.117549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8599d2cd-cd0e-41d0-9129-e77f989d59f6 · outbound

This paper cites Gscore: Efficient radiance field rendering via architectural support for 3d gaussian splat- ting.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Gscore: Efficient radiance field rendering via architectural support for 3d gaussian splat- ting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.121381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4f1c726-0412-4f48-b377-1c2c7d497db6 · outbound

This paper cites Rt-nerf: Real- time on-device neural radiance fields towards immersive ar/vr rendering.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Rt-nerf: Real- time on-device neural radiance fields towards immersive ar/vr rendering

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.109902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a348019-d631-41e5-9134-8fedd2340208 · outbound

This paper cites Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.097807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6d0e35a-d328-4a02-aea5-f02e6ecaef61 · outbound

This paper cites ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting

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Source-reported events for the cited work

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Observation 39153397-3f80-4c39-96b7-85e7f24ae0e8 · outbound

This paper cites Metasapiens: Real-time neural rendering with efficiency-aware pruning and accelerated foveated rendering.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Metasapiens: Real-time neural rendering with efficiency-aware pruning and accelerated foveated rendering

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.086609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd4ce124-05a8-49e7-83b8-f8406052d07c · outbound

This paper cites Bacon: Band-limited coordinate networks for multiscale scene representation.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Bacon: Band-limited coordinate networks for multiscale scene representation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.075468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 081b8fb8-7402-4664-93fa-2edb1415d272 · outbound

This paper cites CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:12.964924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86c324ed-19d0-43a2-a072-007da7731a9b · outbound

This paper cites Gaussian splatting slam.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Gaussian splatting slam

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.065195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f275327c-ed28-46bd-bab9-9010d0628e96 · outbound

This paper cites Dynamic warp subdivision for integrated branch and memory divergence tolerance.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Dynamic warp subdivision for integrated branch and memory divergence tolerance

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.053707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7172b161-fdd3-4009-840f-df1c0828e5bd · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99–106, 2021.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99–106, 2021

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:13.432912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be4a09c-d2aa-4bcd-93bb-8ffee133852b · outbound

This paper cites Hardware acceleration of neural graphics.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Hardware acceleration of neural graphics

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.035133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34786ef3-125d-4172-b1e1-4991d1fda7ce · outbound

This paper cites Real-time Neural Radiance Caching for Path Tracing.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Real-time Neural Radiance Caching for Path Tracing

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:13.758033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7f0534-864e-4c79-bb3e-44d3ebbbd9f4 · outbound

This paper cites Improving gpu performance via large warps and two-level warp scheduling.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Improving gpu performance via large warps and two-level warp scheduling

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.021082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 494b276d-86f3-4b5c-9648-9cf2e0410485 · outbound

This paper cites Icarus: A specialized architecture for neural radiance fields rendering.ACM Transactions on Graphics (TOG), 41(6):1–14, 2022.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Icarus: A specialized architecture for neural radiance fields rendering.ACM Transactions on Graphics (TOG), 41(6):1–14, 2022

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.005222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6182e8a1-bd30-47a6-bfa8-c80626a68669 · outbound

This paper cites Re-rend: Real-time rendering of nerfs across devices.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Re-rend: Real-time rendering of nerfs across devices

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.993156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89a4d0a7-6f17-41c0-bcf5-5176976e265a · outbound

This paper cites Deepscaletool: A tool for the accurate estima- tion of technology scaling in the deep-submicron era.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Deepscaletool: A tool for the accurate estima- tion of technology scaling in the deep-submicron era

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.978511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97ad19d4-4f44-48c2-8a47-8335e6b63f48 · outbound

This paper cites Pre-convolved radiance caching.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Pre-convolved radiance caching

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.966038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b7701ab-a8c8-48be-b989-b7dee581310c · outbound

This paper cites Structure-from-motion revisited.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Structure-from-motion revisited

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:14.578700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd1747de-330a-492d-a5f4-f38ffe8ba6e9 · outbound

This paper cites Vr-dann: Real-time video recognition via decoder-assisted neural net- work acceleration.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Vr-dann: Real-time video recognition via decoder-assisted neural net- work acceleration

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.947154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9cc34196-01f8-4500-b44d-3e4ce8e856ed · outbound

This paper cites Scaling equations for the accurate prediction of cmos device performance from 180 nm to 7 nm.Integration, 58:74–81, 2017.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Scaling equations for the accurate prediction of cmos device performance from 180 nm to 7 nm.Integration, 58:74–81, 2017

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.937291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 755e2731-5193-481d-ab8e-3996c400d01b · outbound

This paper cites Block-nerf: Scalable large scene neural view synthesis.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Block-nerf: Scalable large scene neural view synthesis

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.926911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9bf8198-d5b4-4dd6-8bb5-707b7b67a204 · outbound

This paper cites Real-time radiance caching using chrominance compression.Journal of Computer Graphics Techniques Vol, 3(4), 2014.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Real-time radiance caching using chrominance compression.Journal of Computer Graphics Techniques Vol, 3(4), 2014

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.913802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation acd5668a-4d72-4a4f-9bdd-e2516ae0077a · outbound

This paper cites Effect of frame rate on user experience, performance, and simulator sickness in virtual reality.IEEE Transactions on Visualization and Computer Graphics, 29(5):2478–2488, 2023.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Effect of frame rate on user experience, performance, and simulator sickness in virtual reality.IEEE Transactions on Visualization and Computer Graphics, 29(5):2478–2488, 2023

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.902340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d645eb3-2562-46ce-bf6c-fccdcf6e5978 · outbound

This paper cites Humannerf: Free-viewpoint rendering of moving people from monocular video.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Humannerf: Free-viewpoint rendering of moving people from monocular video

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:15.281178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac78ca1b-0c2d-4e6f-89b8-b33edb4f6fc4 · outbound

This paper cites Recent Advances in 3D Gaussian Splatting.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Recent Advances in 3D Gaussian Splatting

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:15.404883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f1bf0f6-648e-4221-89dd-1feca820c6a0 · outbound

This paper cites an unresolved cited work.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:16.879294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7affb52-c928-43e5-9e29-b60599673f92 · outbound

This paper cites Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.865279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20cc20d2-5b07-4870-a2ed-59fb1eecf7f7 · outbound

This paper cites Neural supersampling for real-time rendering.ACM Transactions on Graphics (TOG), 39(4):142–1, 2020.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Neural supersampling for real-time rendering.ACM Transactions on Graphics (TOG), 39(4):142–1, 2020

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.851817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5c2e474-cd7b-408b-8030-d79caf508fa0 · outbound

This paper cites Gs-slam: Dense visual slam with 3d gaussian splatting.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Gs-slam: Dense visual slam with 3d gaussian splatting

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.839616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d89f9c53-6d01-4d8b-b05b-75f5008e2582 · outbound

This paper cites Ganax: A unified mimd-simd acceleration for generative adversarial networks.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Ganax: A unified mimd-simd acceleration for generative adversarial networks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.827297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3da73a16-b663-42a1-8a72-692beef7d6d0 · outbound

This paper cites Intrinsicnerf: Learning intrinsic neural radiance fields for editable novel view synthesis.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Intrinsicnerf: Learning intrinsic neural radiance fields for editable novel view synthesis

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.809877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e772d817-ccac-458e-8e5c-febd580bded3 · outbound

This paper cites Exploiting frame similarity for efficient inference on edge devices.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Exploiting frame similarity for efficient inference on edge devices

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.794010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7053265-bd51-48cd-8c35-7b12c3bf7d92 · outbound

This paper cites Ray priors through reprojection: Improving neural radiance fields for novel view extrapolation.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Ray priors through reprojection: Improving neural radiance fields for novel view extrapolation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.778617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ac637c4-89cd-4fe9-99c2-1b15761d3021 · outbound

This paper cites Déja view: Spatio-temporal compute reuse for ‘energy-efficient 360 vr video streaming.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Déja view: Spatio-temporal compute reuse for ‘energy-efficient 360 vr video streaming

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.763479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 503add53-fcef-4ded-b6fe-025de2f0e389 · outbound

This paper cites Holoar: On-the-fly optimization of 3d holographic processing for augmented reality.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Holoar: On-the-fly optimization of 3d holographic processing for augmented reality

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.750106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97072fbd-35af-4661-a575-dd2718a48a35 · outbound

This paper cites Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision.

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:16.525794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers