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  3. Reliev3R: Relieving Feed-forward Reconstruction from Multi-V
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Reliev3R: Relieving Feed-forward Reconstruction from Multi-View Geometric Annotations

Fresh3d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T20:55:45.114352+00:00

Claims: 0

References: 48

Proof: unverified

Freshness: fresh

Source paper: Reliev3R: Relieving Feed-forward Reconstruction from Multi-View Geometric Annotations

PDF: https://arxiv.org/pdf/2604.00548v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-02T21:00:26.385Z

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Paper Mode

Reliev3R: Relieving Feed-forward Reconstruction from Multi-View Geometric Annotations

Overall score: 6/10
Lineage: 9703439725b6…
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Canonical Paper Receipt

Last verification: 2026-04-02T21:00:26.385Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 48

Sources: 3

Coverage: 50%

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Unknowns
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Dimensions overall score 6.0

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Builds On This
3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding
Score 5.0down
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Score 7.0up
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Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation
Score 7.0up
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UniRecGen: Unifying Multi-View 3D Reconstruction and Generation
Score 7.0up
Higher Viability
Fus3D: Decoding Consolidated 3D Geometry from Feed-forward Geometry Transformer Latents
Score 7.0up
Higher Viability
VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors
Score 8.0up
Higher Viability
To View Transform or Not to View Transform: NeRF-based Pre-training Perspective
Score 7.0up
Higher Viability
$D^3$-RSMDE: 40$\times$ Faster and High-Fidelity Remote Sensing Monocular Depth Estimation
Score 7.0up

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  • 3D Reconstruction – Use Cases(use_case)

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