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Liqiang Nie

6 papers indexed

arxivcs.CV2026-07-20

MixDiffusion: Mixing Diffusion-based Uni-condition Text-to-Image Generation Models for Multi-condition Image Synthesis

Pengcheng Wan, Liang Han, Lin Xu, Bowen Xiao, Liqiang Nie

Recent advances in text-to-image (T2I) generation have enabled controllable image synthesis by incorporating conditions beyond text. However, most existing diffusion-based methods are limited to a single type of control condition (e.g., bounding boxes or keypoints), which restric…

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arxivcs.CV2026-07-02

SpaceEra++: A Unified Framework Towards 3D Spatial Reasoning in Video

Weili Guan, Haoyu Zhang, Meng Liu, Qianlong Xiang, Yaowei Wang, Liqiang Nie

Visual-spatial understanding, defined as the ability to infer object relationships and scene layouts from visual inputs, is fundamental to downstream tasks such as robotic navigation and embodied interaction. However, pre-trained vision-language models (VLMs) remain constrained b…

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arxivcs.CV2026-06-30

Technical Report of RoboSpatial Challenge at CVPR 2026: Selective Reasoning Activation and Reference-Frame Disambiguation for Embodied Spatial Reasoning

Yuxiang Xie, Qi Lv, Jianming Xing, Zijian Hong, Xiang Deng, Weili Guan, et al.

Vision-language models achieve strong general perception but often struggle with the spatial reasoning required for embodied tasks. We present RoboSpatialBrain, our submission to the RoboSpatial Challenge at the Embodied Reasoning in Action Workshop, CVPR 2026, built on RoboBrain…

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arxivcs.CV2026-06-29

Efficient Visual Pointing for Embodied AI:Agent-Driven Data Synthesis, Cross-Block Attention, and Iterative Correction

Zijian Hong, Qi Lv, Yuxiang Xie, Jianming Xing, Xiang Deng, Weili Guan, et al.

Visual pointing maps a language instruction to pixel co ordinates, a core skill for embodied AI. We describe our PointArena 2026 solution, which achieves 77.2% overall accuracy and ranks second on the benchmark. The ap proach targets three failure modes. First, agent-driven syn t…

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arxivcs.CV2026-06-26

StructSplat: Generalizable 3D Gaussian Splatting from Uncalibrated Sparse Views

Jia-Chen Zhao, Beiqi Chen, Xinyang Chen, Guangcong Wang, Liqiang Nie

We present StructSplat, a feed-forward and generalizable 3D Gaussian reconstruction framework that operates directly on uncalibrated images without requiring camera parameters. Existing methods either rely on per-scene optimization or assume known camera poses, and often entangle…

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arxivcs.CVcs.AI2026-06-26

SpatialUAV: Benchmarking Spatial Intelligence for Low-Altitude UAV Perception, Collaboration, and Motion

Haoyu Zhang, Meng Liu, Qianlong Xiang, Kun Wang, Yaowei Wang, Liqiang Nie

Spatial intelligence is essential for low-altitude unmanned aerial vehicle (UAV) perception, collaboration, and navigation. However, existing UAV benchmarks often emphasize image-level recognition, single-view understanding, or narrow answer formats, leaving 3D spatial inference,…

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