"autoregressive generation" Papers

18 papers found

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

AAAI 2025paperarXiv:2412.15582
3
citations

ARIG: Autoregressive Interactive Head Generation for Real-time Conversations

Ying Guo, Xi Liu, Cheng Zhen et al.

ICCV 2025arXiv:2507.00472
7
citations

Diffusion On Syntax Trees For Program Synthesis

Shreyas Kapur, Erik Jenner, Stuart Russell

ICLR 2025arXiv:2405.20519
10
citations

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Siyuan Li, Luyuan Zhang, Zedong Wang et al.

CVPR 2025arXiv:2504.00999
7
citations

MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization

Yiwen Chen, Yikai Wang, Yihao Luo et al.

ICCV 2025arXiv:2408.02555
72
citations

Mixture of Inputs: Text Generation Beyond Discrete Token Sampling

Yufan Zhuang, Liyuan Liu, Chandan Singh et al.

NEURIPS 2025

Rendering-Aware Reinforcement Learning for Vector Graphics Generation

Juan Rodriguez, Haotian Zhang, Abhay Puri et al.

NEURIPS 2025arXiv:2505.20793
9
citations

VertexRegen: Mesh Generation with Continuous Level of Detail

Xiang Zhang, Yawar Siddiqui, Armen Avetisyan et al.

ICCV 2025arXiv:2508.09062
4
citations

Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation

Zheng Anlin, Xin Wen, Xuanyang Zhang et al.

NEURIPS 2025
9
citations

Conformal Autoregressive Generation: Beam Search with Coverage Guarantees

Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez

AAAI 2024paperarXiv:2309.03797
20
citations

Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference

Piotr Nawrot, Adrian Łańcucki, Marcin Chochowski et al.

ICML 2024arXiv:2403.09636
94
citations

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Yanxi Chen, Xuchen Pan, Yaliang Li et al.

ICML 2024arXiv:2312.04916
60
citations

Grid Diffusion Models for Text-to-Video Generation

Taegyeong Lee, Soyeong Kwon, Taehwan Kim

CVPR 2024arXiv:2404.00234
21
citations

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Aram Davtyan, Paolo Favaro

AAAI 2024paperarXiv:2306.03988
7
citations

OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models

Zijian Zhou, Zheng Zhu, Holger Caesar et al.

ECCV 2024arXiv:2407.11213
13
citations

STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction

Xi Ye, Guillaume-Alexandre Bilodeau

AAAI 2024paperarXiv:2312.06486
18
citations

TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models

Haomiao Ni, Bernhard Egger, Suhas Lohit et al.

CVPR 2024arXiv:2404.16306
22
citations

ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models

Lukas Höllein, Aljaž Božič, Norman Müller et al.

CVPR 2024arXiv:2403.01807
69
citations