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20242026
most citedObject-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding

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cs.CV2026

Rotate Your Character: Revisiting Video Diffusion Models for High-Quality 3D Character Generation

Jin Wang, Jianxiang Lu, Comi Chen +9

Generating high-quality 3D characters from single images remains a significant challenge in digital content creation, particularly due to complex body poses and self-occlusion. In…

cs.CV2026

TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment

Jin Wang, Jianxiang Lu, Guangzheng Xu +10

Recent studies have demonstrated the efficacy of integrating Group Relative Policy Optimization (GRPO) into flow matching models, particularly for text-to-image and text-to-video g…

cs.CV2025

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model

Ruihuang Li, Caijin Zhou, Shoujian Zheng +55

Intelligent game creation represents a transformative advancement in game development, utilizing generative artificial intelligence to dynamically generate and enhance game content…

cs.CV20241 cited

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Zhimin Li, Jianwei Zhang, Qin Lin +42

We present Hunyuan-DiT, a text-to-image diffusion transformer with fine-grained understanding of both English and Chinese. To construct Hunyuan-DiT, we carefully design the transfo…

cs.CV20241 cited

Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding

Jianxiang Lu, Cong Xie, Hui Guo

As large-scale text-to-image generation models have made remarkable progress in the field of text-to-image generation, many fine-tuning methods have been proposed. However, these m…