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20232026
most citedA Survey of AI-Generated Video Evaluation

2 citations · 3 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

RDGSplat: Render-Dedicated Geometry for Novel View Synthesis

Zhijie Zheng, Xinhao Xiang, Jiawei Zhang

3D foundation models enable efficient novel view synthesis by carrying a Gaussian head on the representation they already use for reconstruction. However, the views they render fal…

cs.CV2026

PRISM: Feed-Forward Single-Image 3D Reconstruction via Geometric Warp-Residual Modeling

Zhijie Zheng, Xinhao Xiang, Jiawei Zhang

Reconstructing 3D scenes from a single image is a fundamental challenge in computer vision, with broad applications in virtual reality, robotics, and content creation. Recent metho…

cs.CV2026

OccFace: Unified Occlusion-Aware Facial Landmark Detection with Per-Point Visibility

Xinhao Xiang, Zhengxin Li, Saurav Dhakad +3

Accurate facial landmark detection under occlusion remains challenging, especially for human-like faces with large appearance variation and rotation-driven self-occlusion. Existing…

cs.CV2026

TTSA3R: Training-Free Temporal-Spatial Adaptive Persistent State for Streaming 3D Reconstruction

Zhijie Zheng, Xinhao Xiang, Jiawei Zhang

Streaming recurrent models enable efficient 3D reconstruction by maintaining persistent state representations. However, they suffer from catastrophic forgetting over long sequences…

cs.CV2025

Are AI-Generated Driving Videos Ready for Autonomous Driving? A Diagnostic Evaluation Framework

Xinhao Xiang, Abhijeet Rastogi, Jiawei Zhang

Recent text-to-video models have enabled the generation of high-resolution driving scenes from natural language prompts. These AI-generated driving videos (AIGVs) offer a low-cost,…

cs.CV2025

Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes

Xinhao Xiang, Kuan-Chuan Peng, Suhas Lohit +2

3D object detection plays a crucial role in autonomous systems, yet existing methods are limited by closed-set assumptions and struggle to recognize novel objects and their attribu…

cs.CV2025

AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark

Xinhao Xiang, Xiao Liu, Zizhong Li +2

The rapid advancement in AI-generated video synthesis has led to a growth demand for standardized and effective evaluation metrics. Existing metrics lack a unified framework for sy…

cs.CV2024★ 2 cited

A Survey of AI-Generated Video Evaluation

Xiao Liu, Xinhao Xiang, Zizhong Li +6

The growing capabilities of AI in generating video content have brought forward significant challenges in effectively evaluating these videos. Unlike static images or text, video c…

cs.CV2024

EffiPerception: an Efficient Framework for Various Perception Tasks

Xinhao Xiang, Simon Dräger, Jiawei Zhang

The accuracy-speed-memory trade-off is always the priority to consider for several computer vision perception tasks. Previous methods mainly focus on a single or small couple of th…

cs.CV2023

3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion

Xinhao Xiang, Simon Dräger, Jiawei Zhang

Good 3D object detection performance from LiDAR-Camera sensors demands seamless feature alignment and fusion strategies. We propose the 3DifFusionDet framework in this paper, which…

cs.CV2023★ 1 cited

FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion

Xinhao Xiang, Jiawei Zhang

For 3D object detection, both camera and lidar have been demonstrated to be useful sensory devices for providing complementary information about the same scenery with data represen…