Ying Shan

From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation

IC-Custom: Diverse Image Customization via In-Context Learning

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation

Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

GenCompositor: Generative Video Compositing with Diffusion Transformer

ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing

MeshWeaver: Sparse-Voxel-Guided Surface Weaving for Autoregressive Mesh Generation

From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model

DVT-LLaVA: Vision-Language Model Personalization with Disentangled Visual Tuning

Aligning Latent Spaces with Flow Priors

GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning

AudioStory: Generating Long-Form Narrative Audio with Large Language Models

Unified Single Transformer for Multimodal Video Understanding and Generation

Fourier Minds, Forget Less: Discrete Fourier Transform for Fast and Robust Continual Learning in LLMs

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation

UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning

MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO

HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding

Taming Rectified Flow for Inversion and Editing

LoRA-Gen: Specializing Language Model via Online LoRA Generation

FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction

Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance

SEED-X: Multimodal Models in Real World

SEED-Story: Multimodal Long Story Generation with Large Language Model

Self-Conditioned Diffusion Model for Consistent Human Image and Video Synthesis

GPT4LoRA: Optimizing LoRA Combination via MLLM Self-Reflection