Papers17

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#KV cache

HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming

Intermediate

Haonan Qiu, Shikun Liu et al.Dec 24arXiv

HiStream makes 1080p video generation much faster by removing repeated work across space, time, and steps.

#high-resolution video generation#diffusion transformer (DiT)#dual-resolution caching

Kling-Omni Technical Report

Intermediate

Kling Team, Jialu Chen et al.Dec 18arXiv

Kling-Omni is a single, unified model that can understand text, images, and videos together and then make or edit high-quality videos from those mixed instructions.

#multimodal visual language#MVL#prompt enhancer

LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding

Beginner

Chenkai Xu, Yijie Jin et al.Dec 18arXiv

This paper speeds up diffusion language models (dLLMs) by changing the order in which they fill in missing words.

#Diffusion LLM#Parallel decoding#Token Filling Order

MemFlow: Flowing Adaptive Memory for Consistent and Efficient Long Video Narratives

Intermediate

Sihui Ji, Xi Chen et al.Dec 16arXiv

MemFlow is a new way for AI to remember the right parts of a long video story while it keeps making new parts, so characters and scenes stay consistent.

#MemFlow#Narrative Adaptive Memory#Sparse Memory Activation

VideoSSM: Autoregressive Long Video Generation with Hybrid State-Space Memory

Beginner

Yifei Yu, Xiaoshan Wu et al.Dec 4arXiv

VideoSSM is a new way to make long, stable, and lively videos by giving the model two kinds of memory: a short-term window and a long-term state-space memory.

#autoregressive video diffusion#state-space model#hybrid memory

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