6 citations · 7 across the 24 of their papers we have counts for
12 papers · 1 filter
ConsistWorld: Evidence Routing for Consistent Multi-Agent World Models
Qianxun Xu, Xianfang Zeng, Xinyao Liao +3
Autoregressive video world models enable temporally coherent generation for a single observer. Extending them to multiple agents requires consistency across independently controlle…
Aphanta: Diagnosing Task-Aligned Image-Edited Intermediates for Multimodal Reasoning
Hengyuan Xu, Wei Cheng, Yumeng Ji +4
Explicit visual intermediates can help multimodal large language models (MLLMs) externalize spatial evidence and updated visual states, but their utility depends on whether an imag…
WithEveryone: Unified Planning and Identity Grounding for Group Image Generation
Hengyuan Xu, Qixun Wang, Yiji Cheng +5
Identity-preserving image generation becomes increasingly unreliable when a scene must contain many specified people. Beyond retaining each identity, the model must bind every refe…
ShutterMuse: Capture-Time Photography Guidance with MLLMs
Jiayu Li, Yixiao Fang, Tianyu Hu +5
Real-world photography requires capture-time guidance for both camera framing and subject pose. Yet existing aesthetic cropping benchmarks mainly evaluate post-hoc crop prediction…
FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining
Jinghong Lan, Wei Cheng, Yunuo Chen +10
Style-content dual-reference generation aims to synthesize an image that preserves the structure and semantics of a content reference while adopting the style of a separate style r…
Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards
Yiming Ni, Zhi-Qi Cheng, Jiayu Li +1
Sign languages are expressive visual languages used by Deaf and Hard-of-Hearing (DHH) communities. Despite substantial progress in sign-language recognition, translation, and produ…
MMPhysVideo: Physically Plausible Video Generation Through Joint RGB-Perception Modeling
Shubo Lin, Xuanyang Zhang, Wei Cheng +3
Despite advancements in generating visually stunning content, video diffusion models (VDMs) often yield physically inconsistent results due to pixel-only reconstruction. To address…
GEditBench v2: A Human-Aligned Benchmark for General Image Editing
Zhangqi Jiang, Zheng Sun, Xianfang Zeng +7
Recent advances in image editing have enabled models to handle complex instructions with impressive realism. However, existing evaluation frameworks lag behind: current benchmarks…
Back to Basics: Revisiting ASR in the Age of Voice Agents
Geeyang Tay, Wentao Ma, Jaewon Lee +8
Automatic speech recognition (ASR) systems have achieved near-human accuracy on curated benchmarks, yet still fail in real-world voice agents under conditions that current evaluati…
RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models
Yufeng Yang, Xianfang Zeng, Zhangqi Jiang +8
Image restoration under real-world degradations is critical for downstream tasks such as autonomous driving and object detection. However, existing restoration models are often lim…
Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction
Jiahao Tian, Chenxi Song, Wei Cheng +1
Generating long videos using pre-trained video diffusion models, which are typically trained on short clips, presents a significant challenge. Directly applying these models for lo…
OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens
Yiying Yang, Wei Cheng, Sijin Chen +5
OmniLottie is a versatile framework that generates high quality vector animations from multi-modal instructions. For flexible motion and visual content control, we focus on Lottie,…