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cs.CV2026

Can One Hear Geometry? Gauge-Invariant Spectral Descriptors for Text-to-B-rep Retrieval

Hongzhu Yi, Hao Liu, Tao Yu +10

Text-to-3D solid retrieval faces a fundamental representation gap: while natural language describes intrinsic shapes, Boundary Representation (B-rep) entangles precise geometry wit…

cs.CV2026

OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models

Hao Wang, Tao Yu, Liuzhou Zhang +13

Video world models must preserve the visual state of the world over time, but existing evaluation protocols often rely on generated histories, video reference, or selected revisit…

cs.CV2026

Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

Jintao Zhang, Kai Jiang, Jintao Chen +32

We present Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model. Moreover, we explore the…

cs.CV2026

SCOPE-Router: Cost-Aware Open-Set VLM Routing for Execution-Oriented Tasks

Tao Yu, Yifei Qu, Zhiqing Cui +14

Model routing aims to select the most suitable model from a candidate pool for each query, balancing quality and cost. Existing VLM routing research is limited to traditional VQA e…

cs.CV2026

When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection

Tao Yu, Yujia Yang, Shenghua Chai +18

Video misinformation increasingly operates at the semantic and evidential level: authentic footage may be selectively edited, temporally reordered, spliced across sources, or augme…

cs.CV2026

HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding

Haopeng Jin, Hongzhu Yi, Wenlong Zhao +9

Long video understanding with multimodal language models suffers from three compounding bottlenecks: heavy decode cost to obtain dense RGB frames, token growth with frame count, an…

cs.CV2026

FreqFormer: Hierarchical Frequency-Domain Attention with Adaptive Spectral Routing for Long-Sequence Video Diffusion Transformers

Haopeng Jin

Long-sequence video diffusion transformers hit a quadratic self-attention cost that dominates runtime and memory for very long token sequences. Most efficient attention methods use…

cs.CV2026

Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models

Yujia Yang, Yuanxiang Wang, Zhenyu Guan +11

While Instruction-based Image Editing (IIE) has achieved significant progress, existing benchmarks pursue task breadth via mixed evaluations. This paradigm obscures a critical fail…

cs.CV2026

ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search

Tao Yu, Haopeng Jin, Hao Wang +19

In recent years, large language models (LLMs) have made rapid progress in information retrieval, yet existing research has mainly focused on text or static multimodal settings. Ope…

cs.CV2026

Beyond Closed-Pool Video Retrieval: A Benchmark and Agent Framework for Real-World Video Search and Moment Localization

Tao Yu, Yujia Yang, Haopeng Jin +17

Traditional video retrieval benchmarks focus on matching precise descriptions to closed video pools, failing to reflect real-world searches characterized by fuzzy, multi-dimensiona…

cs.CV2026

VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents

Hongzhu Yi, Yujia Yang, Yuanxiang Wang +18

Image editing models can modify visual content through natural language, but editing dense documents requires precise local changes amid tightly coupled text, tables, and layout. W…