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Randomized autoregressive visual generation
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
In-context generation is a key component of large language models'(LLMs) open-task
generalization capability. By leveraging a few examples as context, LLMs can perform both …
generalization capability. By leveraging a few examples as context, LLMs can perform both …
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
We introduce Orthus, an autoregressive (AR) transformer that excels in generating images
given textual prompts, answering questions based on visual inputs, and even crafting …
given textual prompts, answering questions based on visual inputs, and even crafting …
[HTML][HTML] Continuous speculative decoding for autoregressive image generation
Z Wang, R Zhang, K Ding, Q Yang, F Li… - Advances in Neural …, 2024 - jalms.net
連続値自己回帰 (AR) 画像生成モデルは, 離散トークンモデルと比較して顕著な優位性を示し,
優れた再構成品質と高い生成忠実度を実証している. しかしながら, 自己回帰フレームワークの計算 …
優れた再構成品質と高い生成忠実度を実証している. しかしながら, 自己回帰フレームワークの計算 …
Autoregressive Models in Vision: A Survey
Autoregressive modeling has been a huge success in the field of natural language
processing (NLP). Recently, autoregressive models have emerged as a significant area of …
processing (NLP). Recently, autoregressive models have emerged as a significant area of …
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
This paper presents SANA-1.5, a linear Diffusion Transformer for efficient scaling in text-to-
image generation. Building upon SANA-1.0, we introduce three key innovations:(1) Efficient …
image generation. Building upon SANA-1.0, we introduce three key innovations:(1) Efficient …
A Survey on Vision Autoregressive Model
K Jiang, J Huang - arxiv preprint arxiv:2411.08666, 2024 - arxiv.org
Autoregressive models have demonstrated great performance in natural language
processing (NLP) with impressive scalability, adaptability and generalizability. Inspired by …
processing (NLP) with impressive scalability, adaptability and generalizability. Inspired by …