7 papers
OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation
Lei Zhu, Xing Cai, Yingjie Chen +6
Recent advancements in audio-video joint generation models have demonstrated impressive capabilities in content creation. However, generating high-fidelity human-centric videos in…
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion
Lifeng Chen, Tianqi You, Hao Liu +8
Chest X-ray report generation (CXR-RG) has the potential to substantially alleviate radiologists' workload. However, conventional autoregressive vision--language models (VLMs) suff…
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40
This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…
Nucleus-Image: Sparse MoE for Image Generation
Chandan Akiti, Ajay Modukuri, Murali Nandan Nagarapu +2
We present Nucleus-Image, a text-to-image generation model that establishes a new Pareto frontier in quality-versus-efficiency by matching or exceeding leading models on GenEval, D…
ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction
Kun Wang, Yupeng Hu, Zhiran Li +3
In this report, we present our champion solution for the NTIRE 2026 Challenge on Video Saliency Prediction held in conjunction with CVPR 2026. To exploit complementary inductive bi…
MIST: Towards Multi-dimensional Implicit BiaS Evaluation of LLMs for Theory of Mind
Yanlin Li, Hao Liu, Huimin Liu +3
Theory of Mind (ToM) in Large Language Models (LLMs) refers to the model's ability to infer the mental states of others, with failures in this ability often manifesting as systemic…