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20242026
most citedViViD: Video Virtual Try-on using Diffusion Models

2 citations · 8 across the 28 of their papers we have counts for

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11 papers · 1 filter

cs.LG2025

Anchoring Values in Temporal and Group Dimensions for Flow Matching Model Alignment

Yawen Shao, Jie Xiao, Kai Zhu +4

Group Relative Policy Optimization (GRPO) has proven highly effective in enhancing the alignment capabilities of Large Language Models (LLMs). However, current adaptations of GRPO…

cs.CV2025

Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation

Song Yan, Wei Zhai, Chenfeng Wang +9

Diffusion models start generation from an isotropic Gaussian latent, yet changing only the random seed can lead to large differences in prompt faithfulness, composition, and visual…

cs.CV2025

TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions

Guangyi Han, Wei Zhai, Yuhang Yang +2

Hand-object interaction (HOI) is fundamental for humans to express intent. Existing HOI generation research is predominantly confined to fixed grasping patterns, where control is t…

cs.CV2025

Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model

Pingyu Wu, Kai Zhu, Yu Liu +6

Autoregressive image generation aims to predict the next token based on previous ones. However, this process is challenged by the bidirectional dependencies inherent in conventiona…

cs.CV2025

GRACE: Estimating Geometry-level 3D Human-Scene Contact from 2D Images

Chengfeng Wang, Wei Zhai, Yuhang Yang +2

Estimating the geometry level of human-scene contact aims to ground specific contact surface points at 3D human geometries, which provides a spatial prior and bridges the interacti…

cs.CV2025

VideoGen-Eval: Agent-based System for Video Generation Evaluation

Yuhang Yang, Ke Fan, Shangkun Sun +7

The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot sho…