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  2. Signal Canvas
  3. Scaling View Synthesis Transformers
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Scaling View Synthesis Transformers

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0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Scaling View Synthesis Transformers

PDF: https://arxiv.org/pdf/2602.21341v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Paper Conversation

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Scaling View Synthesis Transformers

Overall score: 4/10
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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

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Dimensions overall score 4.0

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Builds On This
Splat2Real: Novel-view Scaling for Physical AI with 3D Gaussian Splatting
Score 2.0down
Prior Work
On Neural Scaling Laws for Weather Emulation through Continual Training
Score 4.0stable
Higher Viability
VisionNVS: Self-Supervised Inpainting for Novel View Synthesis under the Virtual-Shift Paradigm
Score 7.0up
Higher Viability
GeoNVS: Geometry Grounded Video Diffusion for Novel View Synthesis
Score 7.0up
Higher Viability
BetterScene: 3D Scene Synthesis with Representation-Aligned Generative Model
Score 6.0up
Higher Viability
Versor: A Geometric Sequence Architecture
Score 7.0up
Higher Viability
Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices
Score 7.0up
Higher Viability
ViewSplat: View-Adaptive Dynamic Gaussian Splatting for Feed-Forward Synthesis
Score 7.0up

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Related Resources

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