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cs.CV2026
MLLM-Guided Semantic Correction for Text-to-Video Generation
Junhao Chen, Zheqi Lv, Keting Yin +6
Recent advances in diffusion models and Transformer architectures have led to significant progress in text-to-video generation. However, these models often suffer from semantic err…
cs.CV2026
Training-Free Semantic Correction for Autoregressive Visual Models
Junhao Chen, Chanyu Zhu, Zheqi Lv +2
Autoregressive visual models (AVMs) based on next-scale prediction have emerged as a prominent paradigm for image and video synthesis. However, decomposing the generation process i…
cs.CV2026
The First Controllable Bokeh Rendering Challenge at NTIRE 2026
Tim Seizinger, Florin-Alexandru Vasluianu, Jeffrey Chen +23
This study presents the outcomes of the first Controllable Bokeh Rendering Challenge at NTIRE and highlights the most effective submitted methodologies. In total, 44 participants r…