works on

From the 4 of 15 linked papers with an AI index.

collaborators

15 papers

cs.CV2026

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis

Shufan Li, Greg Heinrich, Hanrong Ye +4

The paper introduces Nemotron-Labs-Diffusion-Image, a masked discrete diffusion model for high‑resolution text‑to‑image synthesis that adds a token‑editing mechanism and a grouped…

cs.CV2026

Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models

Shufan Li, Jiuxiang Gu, Kangning Liu +4

Masked Discrete Diffusion Models (MDMs) have achieved strong performance across a wide range of multimodal tasks, including image understanding, generation, and editing. However, t…

cs.CV2026

Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation

Shufan Li, Jiuxiang Gu, Kangning Liu +4

Lavida-O is a unified masked diffusion model that combines a lightweight generation branch with a larger understanding branch to perform image understanding, object grounding, imag…

cs.CV2026

LaViDa: A Large Diffusion Language Model for Multimodal Understanding

Shufan Li, Konstantinos Kallidromitis, Hritik Bansal +7

LaViDa introduces a diffusion-based vision-language model that combines a vision encoder with discrete diffusion to enable fast parallel decoding and controllable multimodal genera…

cs.CV2026

LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

Shufan Li, Yuchen Zhu, Jiuxiang Gu +6

Diffusion language models (dLLMs) recently emerged as a promising alternative to auto-regressive LLMs. The latest works further extended it to multimodal understanding and generati…

cs.CV2026

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization

Shufan Li, Konstantinos Kallidromitis, Akash Gokul +2

Group-advantage-based reinforcement learning methods, such as GRPO and DAPO, have demonstrated strong performance across diverse domains, including mathematical reasoning and text-…