activity
20222026
most citedOpenMask3D: Open-Vocabulary 3D Instance Segmentation

29 citations · 58 across the 29 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CV2026

SplashSplat: Reconstructing Splashing Liquids from Real-World Multi-View Videos

Peiyu Liu, Dingxi Zhang, Federico Tombari +3

A splash lives for a fraction of a second: sheets tear into ligaments and droplets, appearance is view-dependent and nearly textureless, and little persists long enough to track. R…

cs.CV2026

GenRec: Knowing Where to Reconstruct and Where to Generate

Ata Çelen, Jaewoo Jung, Federico Tombari +4

Generative novel view synthesis from sparse input images is rarely all reconstruction or all generation: pixels visible in some source view have a unique correct value modulated on…

cs.CV2026

PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation

Haofei Xu, Rundi Wu, Philipp Henzler +7

State-of-the-art single-image 3D reconstruction methods often rely on complex hybrid architectures and loss functions, or compress geometry into latent spaces in order to leverage…

cs.CV2026

OpenGaFF: Open-Vocabulary Gaussian Feature Field with Codebook Attention

Kunyi Li, Michael Niemeyer, Sen Wang +3

Understanding open-vocabulary 3D scenes with Gaussian-based representations remains challenging due to fragmented and spatially inconsistent semantic predictions across multi-view…

cs.CV2026

Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas

Felix Wimbauer, Fabian Manhardt, Michael Oechsle +4

The synthesis of immersive 3D scenes from text is rapidly maturing, driven by novel video generative models and feed-forward 3D reconstruction, with vast potential in AR/VR and wor…