Cvpr 2026 Dualprim Compact 3d Reconstruction With Positive And Negative Primitives

Media Summary: Abstract: Neural reconstructions often trade structure for fidelity, yielding dense and unstructured meshes with irregular topology ... Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Paper: Project Page: Authors/Affiliations: [Seungho ...

Cvpr 2026 Dualprim Compact 3d Reconstruction With Positive And Negative Primitives - Detailed Analysis & Overview

Abstract: Neural reconstructions often trade structure for fidelity, yielding dense and unstructured meshes with irregular topology ... Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Paper: Project Page: Authors/Affiliations: [Seungho ... How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate geometry and ... We propose SmokeSVD, a diffusion-based framework that progressively reconstructs dynamic smoke from a single video. CVPR 2026: Learning 3D Shape Fidelity Metric from Real-world Distortions

[CVPR 2026] tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

Photo Gallery

[CVPR 2026] DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives

[CVPR 2026] AnchorSplat

[CVPR 2026] Urban-GS Demo Video

[CVPR 2026]

[CVPR 2026] FRAMER

[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

[CVPR 2026] Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction

[CVPR 2026] VIMCAN

Neural Gabor Splatting – Supplemental Video (CVPR 2026 Accepted)

[CVPR 2026 Oral] SmokeSVD

CVPR 2026: Learning 3D Shape Fidelity Metric from Real-world Distortions

[CVPR 2026] tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

View Detailed Profile

[CVPR 2026] DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives

[CVPR 2026] DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives

Abstract: Neural reconstructions often trade structure for fidelity, yielding dense and unstructured meshes with irregular topology ...

[CVPR 2026] AnchorSplat

[CVPR 2026] AnchorSplat

AnchorSplat: Feed-Forward

[CVPR 2026] Urban-GS Demo Video

[CVPR 2026] Urban-GS Demo Video

CVPR 2026

[CVPR 2026]

[CVPR 2026]

Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement.

[CVPR 2026] FRAMER

[CVPR 2026] FRAMER

Paper: https://arxiv.org/abs/2512.01390 Project Page: https://cmlab-korea.github.io/FRAMER/ Authors/Affiliations: [Seungho ...

[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate geometry and ...

[CVPR 2026] Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction

[CVPR 2026] Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction

Poster Presentation

[CVPR 2026] VIMCAN

[CVPR 2026] VIMCAN

VIMCAN: Visual-Inertial

Neural Gabor Splatting – Supplemental Video (CVPR 2026 Accepted)

Neural Gabor Splatting – Supplemental Video (CVPR 2026 Accepted)

CVPR 2026

[CVPR 2026 Oral] SmokeSVD

[CVPR 2026 Oral] SmokeSVD

We propose SmokeSVD, a diffusion-based framework that progressively reconstructs dynamic smoke from a single video.

CVPR 2026: Learning 3D Shape Fidelity Metric from Real-world Distortions

CVPR 2026: Learning 3D Shape Fidelity Metric from Real-world Distortions

CVPR 2026: Learning 3D Shape Fidelity Metric from Real-world Distortions

[CVPR 2026] tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

[CVPR 2026] tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

[CVPR 2026] tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

[CVPR 2026] LocateAnything3D

[CVPR 2026] LocateAnything3D

https://arxiv.org/abs/2511.20648.