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20232025
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cs.CV2025

Comp-Attn: Present-and-Align Attention for Compositional Video Generation

Hongyu Zhang, Yufan Deng, Shenghai Yuan +5

In the domain of text-to-video (T2V) generation, reliably synthesizing compositional content involving multiple subjects with intricate relations is still underexplored. The main c…

cs.CV2024

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation

Peng Jin, Hao Li, Zesen Cheng +6

Text-to-motion generation requires not only grounding local actions in language but also seamlessly blending these individual actions to synthesize diverse and realistic global mot…

cs.CV2024

GraCo: Granularity-Controllable Interactive Segmentation

Yian Zhao, Kehan Li, Zesen Cheng +6

Interactive Segmentation (IS) segments specific objects or parts in the image according to user input. Current IS pipelines fall into two categories: single-granularity output and…

cs.CV2024

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation

Zesen Cheng, Kehan Li, Hao Li +5

Temporally locating objects with arbitrary class texts is the primary pursuit of open-vocabulary Video Instance Segmentation (VIS). Because of the insufficient vocabulary of video…

cs.CV2023

Towards Real-World Burst Image Super-Resolution: Benchmark and Method

Pengxu Wei, Yujing Sun, Xingbei Guo +4

Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma to reconstruct high-quality images with limited information from one input image, especial…