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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation

Jiaxing Li, Kai Zou, Cindy Zhou +7

The paper studies autoregressive video distillation, showing that aligning the student model’s mode coverage with the teacher’s distribution improves generation quality and diversi…

cs.CV2026

OmniAlpha: Aligning Transparency-Aware Generation via Multi-Task Unified Reinforcement Learning

Hao Yu, Jinglin Wang, Jiabo Zhan +7

Transparency-aware generation requires modeling not only RGB appearance but also alpha-based opacity and cross-layer composition, which are essential for tasks such as image mattin…

cs.CV2026

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Zile Wang, Zexiang Liu, Jiaxing Li +20

With the advancement of interactive video generation, diffusion models have increasingly demonstrated their potential as world models. However, existing approaches still struggle t…

cs.CV2026

Exploring Motion-Language Alignment for Text-driven Motion Generation

Ruxi Gu, Zilei Wang, Wei Wang

Text-driven human motion generation aims to synthesize realistic motion sequences that follow textual descriptions. Despite recent advances, accurately aligning motion dynamics wit…

cs.CV2025

AlphaVAE: Unified End-to-End RGBA Image Reconstruction and Generation with Alpha-Aware Representation Learning

Zile Wang, Hao Yu, Jiabo Zhan +1

Recent advances in latent diffusion models have achieved remarkable results in high-fidelity RGB image synthesis by leveraging pretrained VAEs to compress and reconstruct pixel dat…