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20212026
most citedDivide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning

29 citations · 50 across the 25 of their papers we have counts for

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cs.CV2026

CoverPrune: Coverage-Driven Token Pruning for 3D VLMs via Optimal Transport

Peng Ling, Yingda Yin, Lingting Zhu +5

While 3D Vision-Language Models (3D VLMs) have demonstrated remarkable spatial reasoning capabilities, they suffer from massive visual token counts that create severe computational…

cs.CV2026

Scenix: Sparse-View 3D Scene Reconstruction via Executable Scene Programs

Kai Li, Lutao Jiang, Zhenyang Li +10

Synthesizing a structured and editable 3D indoor scene from a few uncalibrated RGB views requires more than generating high-quality individual assets: a system must infer the room…

cs.CV2026

MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

Dehao Hao, Kaiyi Zhang, Tanghui Jia +10

High-fidelity 3D generative modeling increasingly relies on the latent diffusion paradigm, where the reconstruction quality of the underlying 3D VAE becomes a primary bottleneck. E…

cs.CV2026

ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning

Zijie Wang, Wei Zhang, Weiming Zhang +4

Diffusion models have recently become the dominant paradigm for monocular depth estimation (MDE). However, they implicitly assume that depth can be recovered as a globally smooth f…

cs.CV2026

PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments

Zhenyang Li, Lutao Jiang, Yizhou Zhao +4

Reconstructing realistic, physically plausible garments from a single image remains a fundamental challenge. Template-free methods capture surface geometry but lack explicit sewing…

cs.CV2026

OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning

Zhijia Liang, Jiaming Li, Weikai Chen +3

Streaming video reasoning requires models to operate in a setting where history grows without bound while meaningful evidence remains scarce. In such a landscape, relevant signal i…