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20242026
most citedHunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing

Peizhen Zhang, Yang Li, Xunsong Li +10

Modern image generation model rapidly grows their sizes to meet high-fidelity image synthesis. However, they gradually become unaffordable for their enormous parameter consumption…

cs.CV2026

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

Team HY-World, Chenjie Cao, Xuhui Zuo +42

We introduce HY-World 2.0, a multi-modal world model framework that advances our prior project HY-World 1.0. HY-World 2.0 accommodates diverse input modalities, including text prom…

cs.LG2026

Stem: Rethinking Causal Information Flow in Sparse Attention

Lin Niu, Xin Luo, Linchuan Xie +4

The quadratic computational complexity of self-attention remains a fundamental bottleneck for scaling Large Language Models (LLMs) to long contexts, particularly during the pre-fil…

cs.CV2026

IDPruner: Harmonizing Importance and Diversity in Visual Token Pruning for MLLMs

Yifan Tan, Yifu Sun, Shirui Huang +4

Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities, yet they encounter significant computational bottlenecks due to the massive volume of visual tok…

cs.CV2025

Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning

Guanjie Chen, Shirui Huang, Kai Liu +5

Diffusion Models have emerged as a leading class of generative models, yet their iterative sampling process remains computationally expensive. Timestep distillation is a promising…

cs.CV2025

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

HunyuanWorld Team, Zhenwei Wang, Yuhao Liu +52

Creating immersive and playable 3D worlds from texts or images remains a fundamental challenge in computer vision and graphics. Existing world generation approaches typically fall…

cs.CV2025★ 1 cited

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

Team Hunyuan3D, Shuhui Yang, Mingxin Yang +50

3D AI-generated content (AIGC) is a passionate field that has significantly accelerated the creation of 3D models in gaming, film, and design. Despite the development of several gr…

cs.CV2024★ 1 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.AI2024

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Hanlin Tang, Yifu Sun, Decheng Wu +3

Large language models (LLMs) have proven to be very superior to conventional methods in various tasks. However, their expensive computations and high memory requirements are prohib…