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20212026
most citedPose Recognition with Cascade Transformers

7 citations · 8 across the 10 of their papers we have counts for

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14 papers · 1 filter

cs.CV2026

NaLA: A 3D Native LLM Layout Agent for High-quality 3D Scene Generation

Cheng Wan, Yongsen Mao, Wenzheng Wu +7

Recently, Large Language Models (LLMs) have emerged as promising layout agents for 3D scene generation. Existing layout agents still suffer from implausible layout generation becau…

cs.CV2026

CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation in Vision Foundation Models

Xiaojun Shan, Haoyu Shen, Yucheng Mao +5

We present CyCLeGen, a unified vision-language foundation model capable of both image understanding and image generation within a single autoregressive framework. Unlike existing v…

cs.CV2026

PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction

Xiang Zhang, Sohyun Yoo, Hongrui Wu +3

We introduce PixARMesh, a method to autoregressively reconstruct complete 3D indoor scene meshes directly from a single RGB image. Unlike prior methods that rely on implicit signed…

cs.CV2025★ 1 cited

CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning

Zeyuan Chen, Xiang Zhang, Haiyang Xu +2

We present a central-peripheral vision-inspired framework (CVP), a simple yet effective multimodal model for spatial reasoning that draws inspiration from the two types of human vi…

cs.CV2025

Gaussian Swaying: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians

Hongru Yan, Xiang Zhang, Zeyuan Chen +2

Branches swaying in the breeze, flags rippling in the wind, and boats rocking on the water all show how aerodynamics shape natural motion -- an effect crucial for realism in vision…

cs.CV2025

OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps

Bingnan Li, Chen-Yu Wang, Haiyang Xu +7

Despite steady progress in layout-to-image generation, current methods still struggle with layouts containing significant overlap between bounding boxes. We identify two primary ch…