MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data | Paper Citation Record

Observation 7a92b630-d8ff-4735-aa5d-56523e43337c · outbound

This paper cites GPT-4 Technical Report.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data GPT-4 Technical Report

Reference 1

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This paper cites Nemotron-4 340B Technical Report.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Nemotron-4 340B Technical Report

Reference 2

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Observation 7f2e691a-1300-42ea-8f01-e5cd88d147e7 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Flamingo: a visual language model for few-shot learning

Reference 3

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This paper cites Sequential modeling enables scalable learning for large vision models.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Sequential modeling enables scalable learning for large vision models

Reference 4

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This paper cites Frozen in time: A joint video and image encoder for end-to- end retrieval.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Frozen in time: A joint video and image encoder for end-to- end retrieval

Reference 5

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This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 6

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Observation 8dac274a-e513-4221-91fd-536da94195ac · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 7

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Observation 261d1340-c29c-4b22-b783-efa2d34aa78d · outbound

This paper cites Deep local shapes: Learning local sdf priors for detailed 3d reconstruction.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Deep local shapes: Learning local sdf priors for detailed 3d reconstruction

Reference 8

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Observation 42f960a2-1f69-42ee-b9ca-13bbb216df2e · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 9

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Observation 4db11ee9-c2dc-4bce-a24e-07dd2b6969fb · outbound

This paper cites Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo

Reference 10

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Observation 357da52c-bff6-403b-89c2-396a0e3a31b9 · outbound

This paper cites Explicit Correspondence Matching for Generalizable Neural Radiance Fields.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Explicit Correspondence Matching for Generalizable Neural Radiance Fields

Reference 11

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Observation 3658ca16-3510-4f05-bd83-663f79bed6f3 · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 12

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Observation 7be1fb0f-f7e8-4c4a-9a25-0860f31106f2 · outbound

This paper cites MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views

Reference 13

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Observation 9cba85e5-cad9-4a70-916c-b977314842a9 · outbound

This paper cites The manhattan world assumption: Regularities in scene statistics which enable bayesian inference.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data The manhattan world assumption: Regularities in scene statistics which enable bayesian inference

Reference 14

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Observation 7fe64726-349b-4acb-a3ac-119f6779bc68 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 15

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Observation bfc03940-cdf4-45dc-aa48-da1ae726d7db · outbound

This paper cites Procthor: Large-scale embodied ai using procedural generation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Procthor: Large-scale embodied ai using procedural generation

Reference 16

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Observation 85f1f0b1-32ee-41e6-a49b-6fb48c19d9cb · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Objaverse: A universe of annotated 3d objects

Reference 17

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Observation 8e930a2d-8f3c-4db0-b9c1-55818d2aa095 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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Observation b44dfdcc-a2f9-48a4-aa5b-50b5895dec7b · outbound

This paper cites Learning to render novel views from wide-baseline stereo pairs.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Learning to render novel views from wide-baseline stereo pairs

Reference 19

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Observation ebd3f243-42b6-45fd-804e-c9d2f3c1a45a · outbound

This paper cites 3d-front: 3d furnished rooms with layouts and semantics.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data 3d-front: 3d furnished rooms with layouts and semantics

Reference 20

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Observation af7f8917-0f08-44c6-889b-1dfd5ee8a96d · outbound

This paper cites Accurate, dense, and robust multiview stereopsis.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Accurate, dense, and robust multiview stereopsis

Reference 21

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Observation 577385ab-4280-410d-ba78-e5a92aecb3bb · outbound

This paper cites Multi-view stereo for com- munity photo collections.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Multi-view stereo for com- munity photo collections

Reference 22

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Observation 10b4ae51-5dcc-4b0c-a8ce-e950a4069918 · outbound

This paper cites Kubric: A scalable dataset generator.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Kubric: A scalable dataset generator

Reference 23

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Observation 5c9157d9-a884-47d5-8c7b-3d06613cb170 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 24

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Observation 1fefc2bc-9457-4ce3-a8be-35a2668b99fa · outbound

This paper cites Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering

Reference 25

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Observation bba65761-f4f0-4456-82fe-8a802df1eb73 · outbound

This paper cites Vfusion3d: Learning scalable 3d generative models from video diffusion models.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Vfusion3d: Learning scalable 3d generative models from video diffusion models

Reference 26

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Observation 37b411b8-43a9-4aa3-82a1-be259ff946f4 · outbound

This paper cites Denoising diffu- sion probabilistic models.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Denoising diffu- sion probabilistic models

Reference 27

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Observation 8fda4233-2805-407c-b8ef-4015adfb4f31 · outbound

This paper cites Text2room: Extracting textured 3d meshes from 2d text-to-image models.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Text2room: Extracting textured 3d meshes from 2d text-to-image models

Reference 28

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Observation 6237110b-93d4-48ee-8a8a-f04595edfb88 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data LRM: Large Reconstruction Model for Single Image to 3D

Reference 29

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Observation be3526e2-b66a-49fe-8d4a-93b2de348264 · outbound

This paper cites 2d gaussian splatting for geometrically accu- rate radiance fields.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data 2d gaussian splatting for geometrically accu- rate radiance fields

Reference 30

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Observation d8a4ed4d-896e-49b2-9aef-194bf391fe52 · outbound

This paper cites LEAP: Liberate Sparse-view 3D Modeling from Camera Poses.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data LEAP: Liberate Sparse-view 3D Modeling from Camera Poses

Reference 31

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Observation c99926fc-13e4-44e2-a053-0d4b1a71f70b · outbound

This paper cites Real3D: Scaling Up Large Reconstruction Models with Real-World Images.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Real3D: Scaling Up Large Reconstruction Models with Real-World Images

Reference 32

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Observation 1bcb5b78-c300-47ce-8999-420848ff4442 · outbound

This paper cites Few-view object reconstruction with unknown cate- gories and camera poses.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Few-view object reconstruction with unknown cate- gories and camera poses

Reference 33

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Observation 1231497f-5816-4cc0-bfee-4808149bb7b0 · outbound

This paper cites CoFie: Learning Compact Neural Surface Representations with Coordinate Fields.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data CoFie: Learning Compact Neural Surface Representations with Coordinate Fields

Reference 34

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Observation ffeb7f1b-7278-41cd-be98-a9c08368e643 · outbound

This paper cites LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Reference 35

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Observation 0c9cd08a-7d3d-4281-abac-c7733331bbc4 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Perceptual losses for real-time style transfer and super-resolution

Reference 36

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Observation 6b2ade19-3ac7-4ed5-803e-9ba6b91b57cb · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data 3d gaussian splatting for real-time radiance field rendering

Reference 37

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Observation ef3ce910-66a3-4551-94d4-d7a18be461ff · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 38

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Observation 5259ebc8-cb13-47dc-bbc7-7bbd935bc564 · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Grounding Image Matching in 3D with MASt3R

Reference 39

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Observation 19c8c036-f682-488b-8977-c3c5bf108991 · outbound

This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 40

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Observation 3985eb22-4b0e-46ac-947f-91481d3eecdf · outbound

This paper cites Megadepth: Learning single- view depth prediction from internet photos.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Megadepth: Learning single- view depth prediction from internet photos

Reference 41

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Observation 01fc3d8f-1382-4ed0-be23-f9903ea19519 · outbound

This paper cites Learning to recon- struct shape and spatially-varying reflectance from a single image.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Learning to recon- struct shape and spatially-varying reflectance from a single image

Reference 42

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Observation eee7ed4e-5030-453d-8cb2-08d1dbbed7cf · outbound

This paper cites Through the looking glass: Neural 3d reconstruction of trans- parent shapes.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Through the looking glass: Neural 3d reconstruction of trans- parent shapes

Reference 43

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Observation bc2245c9-48a9-44d7-8c47-55e79158013c · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Neuralangelo: High-fidelity neural surface reconstruction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:26.242979Z

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Observation 61d8f2a6-46b7-4fa0-bbd4-9b9b840641f6 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Jamba: A Hybrid Transformer-Mamba Language Model

Reference 45

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Observation 61920154-6c9d-4ad6-bfd5-a3ecfb0bc4c3 · outbound

This paper cites Genusd: 3d scene generation made easy.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Genusd: 3d scene generation made easy

Reference 46

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Observation 59ed0146-bfc8-4f7d-ad2d-75060b3c49eb · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning- based 3d vision.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Dl3dv-10k: A large-scale scene dataset for deep learning- based 3d vision

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:26.117802Z

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Observation a5d708c2-6564-4818-8405-343d4abbbb8a · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:26.055606Z

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Observation abc27f1a-6a39-4fc1-a70c-365d2a66c45e · outbound

This paper cites Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:26.032116Z

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Observation b86a76de-5fa3-4cd6-a15a-b531a89362a1 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthe- sis.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Nerf: Representing scenes as neural radiance fields for view synthe- sis

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:26.004773Z

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Observation 384a9d89-0499-43a1-a4e6-1945e70ca7c7 · outbound

This paper cites Differentiable blocks world: Qualita- tive 3d decomposition by rendering primitives.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Differentiable blocks world: Qualita- tive 3d decomposition by rendering primitives

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.976895Z

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Observation 32addd11-7a74-415f-a9a3-a96b4653a3b2 · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 52

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Observation a967f506-e6e6-450d-aa11-e711609cae57 · outbound

This paper cites Edify 3D: Scalable High-Quality 3D Asset Generation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Edify 3D: Scalable High-Quality 3D Asset Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:22.887331Z

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Observation 120e3def-f98c-4082-9eb2-b5cb0a3eca0a · outbound

This paper cites Infinite photorealistic worlds using procedural generation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Infinite photorealistic worlds using procedural generation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.868201Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2ef827e-2ffd-4081-8834-e18298ee35be · outbound

This paper cites Infinigen indoors: Photorealistic indoor scenes using procedural gener- ation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Infinigen indoors: Photorealistic indoor scenes using procedural gener- ation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.788186Z

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Observation d70daf00-470d-4b07-9e45-684093d494b4 · outbound

This paper cites Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.689455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c97385f-9aa5-47c9-a65e-75f7bebe7b3c · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data U- net: Convolutional networks for biomedical image segmen- tation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.661063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8483008-baa3-4b8d-bb08-3d6f99450f5b · outbound

This paper cites Scene representation transformer: Geometry-free novel view synthe- sis through set-latent scene representations.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Scene representation transformer: Geometry-free novel view synthe- sis through set-latent scene representations

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.638553Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f511d6e1-7d1a-4ff9-b04b-0b9a1be8bf95 · outbound

This paper cites Single-shot neural relighting and svbrdf estimation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Single-shot neural relighting and svbrdf estimation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.617710Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52c37642-a828-4e33-9208-9bfa201c5265 · outbound

This paper cites Structure- from-motion revisited.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Structure- from-motion revisited

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.591711Z

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Observation d1bcba2f-ef64-438e-a96e-0f5d248ef16c · outbound

This paper cites Laion-5b: An open large-scale dataset for training next gen- eration image-text models.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Laion-5b: An open large-scale dataset for training next gen- eration image-text models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.565032Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8555a67a-478e-4d54-8907-584704ed4c1f · outbound

This paper cites A comparison and eval- uation of multi-view stereo reconstruction algorithms.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data A comparison and eval- uation of multi-view stereo reconstruction algorithms

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:22.998117Z

Source-reported events for the cited work

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Observation b4fdd5ce-9cb3-43a4-a55d-9b90d54ddfd1 · outbound

This paper cites Implicit Neural Representations with Periodic Activation Functions.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Implicit Neural Representations with Periodic Activation Functions

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.005266Z

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Observation 9714aa37-d643-4d4f-902d-7f05fa8be6c1 · outbound

This paper cites FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent

Reference 64

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Unavailable: canonical work link unavailable.

Observation 6976f2f3-e689-477a-98d4-af32d8c27ea3 · outbound

This paper cites Model- ing the world from internet photo collections.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Model- ing the world from internet photo collections

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.516755Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f38f7729-42d7-4a29-b19e-d592ac9fbb3d · outbound

This paper cites Behav- ior: Benchmark for everyday household activities in virtual, interactive, and ecological environments.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Behav- ior: Benchmark for everyday household activities in virtual, interactive, and ecological environments

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.481778Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e56d2337-d471-47b4-82ad-b79590856b58 · outbound

This paper cites LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.116642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd68a06-f7e2-4f46-b87c-d6f17a081706 · outbound

This paper cites Solving olympiad geometry without human demon- strations.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Solving olympiad geometry without human demon- strations

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.453692Z

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Observation b9fa9614-9338-4a70-837f-172d30388390 · outbound

This paper cites MegaScenes: Scene-Level View Synthesis at Scale.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data MegaScenes: Scene-Level View Synthesis at Scale

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.174851Z

Source-reported events for the cited work

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Observation fb58332f-7fa1-405a-9e0f-660f17f9eaa9 · outbound

This paper cites Attention is all you need.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Attention is all you need

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.231006Z

Source-reported events for the cited work

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Observation 72d5e7e1-b349-4a78-b6c6-21f7ffa386d8 · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Vggsfm: Visual geometry grounded deep structure from motion

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.296185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f7a62e1-55ab-42af-9cad-0b74c27271f3 · outbound

This paper cites PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.286918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f91293-5df2-4f39-8cf4-951aeba4045b · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Ibrnet: Learning multi-view image-based rendering

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.213010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e80eebde-480b-4cce-9c05-2b6fc3e10b13 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Dust3r: Geometric 3d vision made easy

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.184151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 15711691-da76-4413-ac10-9ff59335cd61 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Tartanair: A dataset to push the limits of visual slam

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.154401Z

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Observation 56372df7-6d8b-46f0-b0e8-d8a5ba7e1659 · outbound

This paper cites MeshLRM: Large Reconstruction Model for High-Quality Meshes.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data MeshLRM: Large Reconstruction Model for High-Quality Meshes

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.365530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22157ee1-a63c-4356-a2ef-ed1989d2cae1 · outbound

This paper cites Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.133609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97228afa-f440-416b-934a-ad860f8600d7 · outbound

This paper cites latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.391661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb25a8d7-a0fe-46d8-a2a0-0278d184416f · outbound

This paper cites LRM-Zero: Training Large Reconstruction Models with Synthesized Data.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.399598Z

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Unavailable: canonical work link unavailable.

Observation 17490ade-868d-42c4-a969-772472e82071 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.407421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c50e50f4-4ea0-4ca2-b809-914e2821f60f · outbound

This paper cites Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model, 2023.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model, 2023

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.104771Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8de9a965-c0ae-4d67-9739-2be53d0ee806 · outbound

This paper cites Deep image-based relighting from optimal sparse samples.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Deep image-based relighting from optimal sparse samples

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.074644Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8f9f59d-4005-4fb2-937c-31de3467b5a9 · outbound

This paper cites Deep view synthesis from sparse photometric images.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Deep view synthesis from sparse photometric images

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:25.041687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 756b7392-ffa9-4029-afa8-4138fd3d1761 · outbound

This paper cites Scene synthesis via uncertainty-driven attribute syn- chronization.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Scene synthesis via uncertainty-driven attribute syn- chronization

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:24.999328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3c9d6905-4d9b-4788-90e2-49d128e8470b · outbound

This paper cites Depth Anything V2.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Depth Anything V2

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.546562Z

Source-reported events for the cited work

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Observation 644da331-82a3-4db4-be84-2b828a30e55d · outbound

This paper cites Holodeck: Language guided gen- eration of 3d embodied ai environments.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Holodeck: Language guided gen- eration of 3d embodied ai environments

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:24.971253Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 295225ad-05c7-4a58-9c83-394792c0a14a · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data pixelnerf: Neural radiance fields from one or few images

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:24.910924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40686d9b-97d9-44bf-9f94-2319062112ea · outbound

This paper cites GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.589215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e12d967-b4da-474c-b8de-13129b20a388 · outbound

This paper cites Freeman, Kai Zhang, and Fujun Luan.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Freeman, Kai Zhang, and Fujun Luan

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:24.845014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 14a5a226-9448-498d-a739-d27b3dc6f2f6 · outbound

This paper cites Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.640927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0d242f3-09f5-4c6e-81b8-e8052514f01b · outbound

This paper cites Pointodyssey: A large-scale synthetic dataset for long-term point tracking.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Pointodyssey: A large-scale synthetic dataset for long-term point tracking

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:24.769645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9ba2a5dd-d3ec-4bf0-b5fa-3e079b82efdd · outbound

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:23.674731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d9ea32-5764-48f0-95d2-0b77fdfa1c70 · outbound

This paper cites Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats.

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats

Reference 93

Resolution: malformed identifier; no resolver link, observed 2026-08-11T12:28:23.682052Z

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