Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling | Paper Citation Record

Observation 00287fab-c86d-4052-adec-585b18c64da9 · outbound

This paper cites Why do LLMs attend to the first token?.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Why do LLMs attend to the first token?

Reference 1

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Observation 9ff54779-9354-4f44-b859-c90d28e5c87d · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 2

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 3

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This paper cites Emerging properties in self-supervised vision transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Emerging properties in self-supervised vision transformers

Reference 4

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Observation c3c38450-b47a-40e6-a496-bdf09fd6620b · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 5

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Observation 6f9ab943-8c32-4667-9cb6-87b7fd12e13c · outbound

This paper cites Vision transformers need registers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Vision transformers need registers

Reference 6

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This paper cites Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.297785Z

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Observation 6dc734b2-7b27-4cde-9b8c-51a35d46f564 · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Objaverse: A universe of annotated 3d objects

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.299617Z

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Observation 49d69f18-fdbf-4ea3-8fb8-601e85ba6f77 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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Observation d67e2a67-a66d-49e6-b9f7-cc471c4d99e5 · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Lrm: Large reconstruction model for single image to 3d

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.303435Z

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Observation cd8f46ea-595e-48d9-9fa2-84e7a297a77d · outbound

This paper cites Efficient-lvsm: Faster, cheaper, and better large view synthesis model via decoupled co-refinement attention.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Efficient-lvsm: Faster, cheaper, and better large view synthesis model via decoupled co-refinement attention

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.371895Z

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Observation aba8a388-22e2-404f-ba27-62ae7f923bd8 · outbound

This paper cites RayZer: A Self-supervised Large View Synthesis Model.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling RayZer: A Self-supervised Large View Synthesis Model

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.366493Z

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Observation c82c8560-8f14-481f-8056-eded1b322197 · outbound

This paper cites Lvsm: A large view synthesis model with minimal 3d inductive bias.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Lvsm: A large view synthesis model with minimal 3d inductive bias

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.275595Z

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Observation 98c5dd99-64f5-4c3f-8cd7-25bd9564b2d2 · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Perceptual losses for real-time style transfer and super-resolution

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.291841Z

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Observation 87953b34-6767-4707-90fe-fd4205efaef1 · outbound

This paper cites iLRM: An Iterative Large 3D Reconstruction Model.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling iLRM: An Iterative Large 3D Reconstruction Model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-02T02:04:07.386055Z

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Observation cfecd887-1470-4fc4-a0d6-20b1271495e2 · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42(4): 1–14

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.286960Z

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Observation 5c49d04e-b915-4064-b981-c67b042f9120 · outbound

This paper cites and Giese, M.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling and Giese, M

Reference 17

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Observation 076073ce-50ce-47c3-b689-b4c922de2a04 · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers

Reference 18

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Observation 7eadee0a-dd9b-4da3-8e2c-93448639adfd · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth Anything 3: Recovering the Visual Space from Any Views

Reference 19

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Observation 97b843e0-e457-4021-9901-b330135ebdc2 · outbound

This paper cites Scaling Sequence-to-Sequence Generative Neural Rendering.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Scaling Sequence-to-Sequence Generative Neural Rendering

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:03:13.357943Z

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Observation 1d913046-b70f-47d3-a3d0-38d7097e642c · outbound

This paper cites Decoupled weight decay regularization.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Decoupled weight decay regularization

Reference 21

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Observation 1416acf9-102e-436f-95b5-d9746f46abfa · outbound

This paper cites Revisiting [cls] and patch token interaction in vision transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Revisiting [cls] and patch token interaction in vision transformers

Reference 22

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Observation 4fd1bec4-fc2a-4ce8-ab85-e03b077930eb · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.289830Z

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Observation e202dd69-0974-4a16-b443-c24e1ddf6f20 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling DINOv2: Learning Robust Visual Features without Supervision

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:03:13.391323Z

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Observation e1cb049c-76f1-4c19-8dc3-a132a52f7575 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling FiLM: Visual reasoning with a general conditioning layer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.293632Z

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Observation 40b5e5ae-1936-4340-be82-7a3ca64f96d2 · outbound

This paper cites On a new geometry of space.Philosophical Transactions of the Royal Society of London, 155:725–791.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling On a new geometry of space.Philosophical Transactions of the Royal Society of London, 155:725–791

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.283039Z

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Observation 22b77ff7-216f-44ab-847f-40c017102167 · outbound

This paper cites Denoising vision transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Denoising vision transformers

Reference 27

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Observation 7ef25d62-0879-427d-bbaf-16d215fa897d · outbound

This paper cites DINOv3.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling DINOv3

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T11:03:13.382943Z

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Observation 47cdbc06-7fe9-4f3e-a072-7c35dea5887f · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling What matters for representation alignment: Global information or spatial structure?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.400354Z

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Observation 54e036b6-a8fc-48de-8bfe-34d7c147b8d0 · outbound

This paper cites U-repa: Aligning diffusion u-nets to vits.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling U-repa: Aligning diffusion u-nets to vits

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.417057Z

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Observation bd7326a6-76f8-4fa2-a97d-eedd084bd3d3 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns.IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(4):376–380.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Least-squares estimation of transformation parameters between two point patterns.IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(4):376–380

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.318847Z

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Observation 5ca670f2-0a6b-4d0a-9eec-c4986391dbec · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Least-squares estimation of transformation parameters between two point patterns

Reference 32

Resolution: verified exact; doi, observed 2026-05-20T11:03:13.075336Z

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Ibrnet: Learning multi-view image-based rendering

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.322636Z

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Observation 7d038493-3233-495f-9437-2f65bceb0e69 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.408956Z

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Observation 50966bdf-5016-4c73-b667-99ba402ca26d · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Dust3r: Geometric 3d vision made easy

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.316826Z

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Observation dc557af4-5b39-4208-9799-5e0168089cc2 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Processing, 13(4): 600–612.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Processing, 13(4): 600–612

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.312985Z

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Observation 35165ec0-430b-4f96-a2dc-04b3241928a2 · outbound

This paper cites From rays to projections: Better inputs for feed-forward view synthesis.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling From rays to projections: Better inputs for feed-forward view synthesis

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.411606Z

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Observation 3018a865-42e9-4103-8628-5d3826ec9d15 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth anything: Unleashing the power of large-scale unlabeled data

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.311099Z

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Observation 8055545f-74f3-4d2d-9b94-bd2c3dce50e9 · outbound

This paper cites Depth Anything V2.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth Anything V2

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:03:13.414179Z

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Observation 03a1c0b0-920c-4b73-b6ec-fb856f0348ae · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling pixelnerf: Neural radiance fields from one or few images

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.315017Z

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Observation 4ce068ef-02ac-4c25-98a9-27985a497580 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:03:13.405757Z

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Observation 0a408cc8-31ff-4143-93cd-b62fc8847ede · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.307357Z

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Observation cbd41d1a-835c-42f3-903d-4361670a4224 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.305242Z

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Observation 819e58c0-308b-4a8b-8e3f-a20492ce18be · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Diffusion Transformers with Representation Autoencoders

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:03:13.380279Z

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Observation 56d1c465-0cee-4126-b41f-774e5fc1258b · outbound

This paper cites Stable Virtual Camera: Generative View Synthesis with Diffusion Models.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Stable Virtual Camera: Generative View Synthesis with Diffusion Models

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T11:03:13.397259Z

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Observation ef83b941-48e0-4f4c-bd5b-ccfb4c721419 · outbound

This paper cites Stereo magnifi- cation: Learning view synthesis using multiplane images.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Stereo magnifi- cation: Learning view synthesis using multiplane images

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.320714Z

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Observation 507df643-b2b0-4681-b660-b98571531f28 · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats

Reference 47

Resolution: malformed identifier; arxiv_id, observed 2026-05-20T11:03:13.403020Z

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Observation b646ad1e-d69b-4eca-b0ca-1d0ab530a8c1 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T11:03:14.309251Z

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