Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward | Paper Citation Record

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This paper cites Towards artificial general intelligence via a multimodal foundation model.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Towards artificial general intelligence via a multimodal foundation model

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This paper cites Video generation models as world simulators OpenAI SORA.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Video generation models as world simulators OpenAI SORA

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This paper cites GPT-4 Technical Report.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward GPT-4 Technical Report

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This paper cites DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images

Reference 4

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This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

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This paper cites MoCoGAN: Decomposing Motion and Content for Video Generation.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MoCoGAN: Decomposing Motion and Content for Video Generation

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This paper cites Deep Generative Modelling: A Compar- ative Review of V AEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Deep Generative Modelling: A Compar- ative Review of V AEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models,

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This paper cites Graph-based Normalizing Flow for Human Motion Generation and Reconstruction,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Graph-based Normalizing Flow for Human Motion Generation and Reconstruction,

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This paper cites BAMM: Bidirectional Autoregressive Motion Model.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward BAMM: Bidirectional Autoregressive Motion Model

Reference 9

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This paper cites Executing your Commands via Motion Diffusion in Latent Space.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Executing your Commands via Motion Diffusion in Latent Space

Reference 10

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This paper cites Denoising Diffusion Probabilistic Models.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Denoising Diffusion Probabilistic Models

Reference 11

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This paper cites A survey of GPT-3 family large language models including ChatGPT and GPT-4,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward A survey of GPT-3 family large language models including ChatGPT and GPT-4,

Reference 12

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This paper cites ChatGPT vs Gemini vs LLaMA on Multilingual Sentiment Analysis.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward ChatGPT vs Gemini vs LLaMA on Multilingual Sentiment Analysis

Reference 13

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This paper cites Text-to-Motion Retrieval: Towards Joint Un- derstanding of Human Motion Data and Natural Language,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Text-to-Motion Retrieval: Towards Joint Un- derstanding of Human Motion Data and Natural Language,

Reference 14

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Reference 15

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This paper cites HP-GAN: Probabilistic 3D human motion prediction via GAN.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward HP-GAN: Probabilistic 3D human motion prediction via GAN

Reference 16

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This paper cites RIVQ-V AE: Discrete Rotation-Invariant 3D Rep- resentation Learning,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward RIVQ-V AE: Discrete Rotation-Invariant 3D Rep- resentation Learning,

Reference 17

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This paper cites A Survey of Cross-Modal Visual Content Generation,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward A Survey of Cross-Modal Visual Content Generation,

Reference 18

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This paper cites Human Image Generation: A Comprehensive Survey,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Human Image Generation: A Comprehensive Survey,

Reference 19

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This paper cites 3D human motion prediction: A survey,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward 3D human motion prediction: A survey,

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This paper cites Human Motion Generation: A Survey,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Human Motion Generation: A Survey,

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This paper cites Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond,

Reference 22

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This paper cites Deep Generative Models on 3D Representations: A Survey.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Deep Generative Models on 3D Representations: A Survey

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Unresolved cited work

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Unresolved cited work

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward B., Hilton, A., & Krüger, V

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Unresolved cited work

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Unresolved cited work

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Autoregressive Models in Vision: A Survey

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies,

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward RNN -based Human Motion Prediction via Differ- ential Sequence Representation,

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward On Human Motion Prediction Using Recurrent Neural Net- works,

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Recurrent Network Models for Human Dynamics

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Efficient convolutional hierarchical autoencoder for human motion prediction,

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Learning Multiscale Correlations for Human Motion Prediction

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Aggregated Multi-GANs for Controlled 3D Human Motion Prediction,

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward 3D Human Mesh Estimation from Virtual Markers

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward SMPL: a skinned multi-person linear model,

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward STAR: Sparse Trained Articulated Human Body Regressor

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward QuaterNet: A Quaternion-based Recurrent Model for Human Motion

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Towards Natural and Accurate Future Motion Prediction of Humans and Animals,

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Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Motion Prediction via Joint Dependency Modeling in Phase Space,

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This paper cites Multiscale Spatio-Temporal Graph Neu- ral Networks for 3D Skeleton-Based Motion Prediction,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Multiscale Spatio-Temporal Graph Neu- ral Networks for 3D Skeleton-Based Motion Prediction,

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This paper cites Vedaldi, Computer Vision - ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIV.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Vedaldi, Computer Vision - ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIV

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This paper cites Dynamic Multiscale Graph Neural Net- works for 3D Skeleton Based Human Motion Prediction,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Dynamic Multiscale Graph Neural Net- works for 3D Skeleton Based Human Motion Prediction,

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This paper cites Learning Trajectory Dependencies for Human Motion Prediction,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Learning Trajectory Dependencies for Human Motion Prediction,

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This paper cites TrajectoryCNN: A New Spatio-Temporal Feature Learning Network for Human Motion Prediction,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward TrajectoryCNN: A New Spatio-Temporal Feature Learning Network for Human Motion Prediction,

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This paper cites Structural-RNN: Deep Learning on Spatio-Temporal Graphs,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Structural-RNN: Deep Learning on Spatio-Temporal Graphs,

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This paper cites Towards Accurate 3D Human Motion Prediction from Incomplete Observations,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Towards Accurate 3D Human Motion Prediction from Incomplete Observations,

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This paper cites Ferrari, Computer Vision - ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Ferrari, Computer Vision - ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV

Reference 58

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Observation 958d27c2-e134-4548-a124-e415d1b73f23 · outbound

This paper cites word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Struc- tured Data,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Struc- tured Data,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:26.326501Z

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Observation 7605699e-f50c-48e9-963f-6c1bbe7ba55c · outbound

This paper cites Glove: Global Vectors for Word Representation,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Glove: Global Vectors for Word Representation,

Reference 60

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Observation 7b866843-6d62-4103-93c0-1538de30373b · outbound

This paper cites BERT: A Review of Applications in Natural Language Processing and Understanding.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward BERT: A Review of Applications in Natural Language Processing and Understanding

Reference 61

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Observation 3f1e0456-e292-4540-bbb8-ef559443b772 · outbound

This paper cites MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators,

Reference 63

Resolution: verified exact; doi, observed 2026-08-07T12:06:45.497625Z

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Observation ee452053-d3f6-4a7a-a089-75ec260d286a · outbound

This paper cites Human3.6M: Large Scale Datasets and Pre- dictive Methods for 3D Human Sensing in Natural Environments,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Human3.6M: Large Scale Datasets and Pre- dictive Methods for 3D Human Sensing in Natural Environments,

Reference 64

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Observation 488e99bc-d330-4522-a983-f4db3d224f50 · outbound

This paper cites MoSh: motion and shape capture from sparse markers,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MoSh: motion and shape capture from sparse markers,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.081942Z

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Observation 445f7a2a-a619-45b7-bc15-478df0af7306 · outbound

This paper cites Learnable Triangulation of Human Pose.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Learnable Triangulation of Human Pose

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:45.348477Z

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Observation 0d70f13c-4667-4e52-aeb1-aeefe7d47be4 · outbound

This paper cites VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:45.261157Z

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Observation 499474bf-2ec4-4e6c-9108-359432b69bc6 · outbound

This paper cites Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:45.045955Z

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Observation 25b95c6b-ba99-4675-bf73-1c44c5830da0 · outbound

This paper cites Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.478160Z

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Observation 8feb8379-d6de-4dee-ab55-c1557ba06cfd · outbound

This paper cites 3D human pose estimation in video with temporal convolutions and semi-supervised training.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward 3D human pose estimation in video with temporal convolutions and semi-supervised training

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.547419Z

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Observation cd58c398-135e-40b1-b40b-fa6eeef2a84f · outbound

This paper cites Plan, Posture and Go: Towards Open-World Text-to-Motion Generation.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.627762Z

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Observation 45cfe79d-9c51-4dc7-825b-7b333f6dae65 · outbound

This paper cites Recovering 3D Human Mesh From Monocular Images: A Survey,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Recovering 3D Human Mesh From Monocular Images: A Survey,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.694203Z

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Observation 30a20d7a-f05e-4890-8a86-9b15808cf933 · outbound

This paper cites How Much Can CLIP Benefit Vision-and-Language Tasks?.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward How Much Can CLIP Benefit Vision-and-Language Tasks?

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.824016Z

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Observation 8ce634ec-3c2a-48dc-938a-0d2ab47f9bc8 · outbound

This paper cites MotionLLM: Understanding Human Behaviors from Human Motions and Videos.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.907738Z

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Observation 040ec999-c7df-4fb4-83ec-b962cd859aea · outbound

This paper cites an unresolved cited work.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:27.997678Z

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Observation 502250e9-bde4-468f-88cb-5466b62721b0 · outbound

This paper cites AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.094059Z

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Observation 6e3bef74-a2eb-4fe8-a693-fe1248f45551 · outbound

This paper cites MotionGPT: Human Motion as a Foreign Language.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MotionGPT: Human Motion as a Foreign Language

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.152584Z

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Observation 50c1635f-2585-4b9c-8e07-2a8487878aa6 · outbound

This paper cites MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.265008Z

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Observation 3558bc2c-3da9-4a07-88bb-556a15cba86b · outbound

This paper cites MotionScript: Natural Language Descriptions for Ex- pressive 3D Human Motions,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MotionScript: Natural Language Descriptions for Ex- pressive 3D Human Motions,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.383888Z

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Unavailable: canonical work link unavailable.

Observation 2f6a3af9-82b8-498e-a5f3-f83eb2d47eb4 · outbound

This paper cites T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.489373Z

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Unavailable: canonical work link unavailable.

Observation 035b9ed1-0a80-4c28-8ce0-53791a4d412f · outbound

This paper cites MotionChain: Conversational Motion Controllers via Multimodal Prompts.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward MotionChain: Conversational Motion Controllers via Multimodal Prompts

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.567393Z

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Observation 2ea36143-97b6-4700-accb-66580434c5bd · outbound

This paper cites Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.675110Z

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Observation add17343-1f9b-4cd8-9cbc-e5044adb7097 · outbound

This paper cites Walk-the-Talk: LLM driven pedestrian motion generation,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Walk-the-Talk: LLM driven pedestrian motion generation,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.796649Z

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Observation acfd999a-72ba-4b6a-a228-bedb46c6a46d · outbound

This paper cites Motion Generation from Fine-grained Textual Descriptions.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Motion Generation from Fine-grained Textual Descriptions

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:28.892843Z

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Observation e8e9b62a-cdc8-47ae-bd76-d2dbc6d6cd92 · outbound

This paper cites You Think, You ACT: The New Task of Arbitrary Text to Motion Generation.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward You Think, You ACT: The New Task of Arbitrary Text to Motion Generation

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:44.852595Z

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Observation 547b63ae-cc68-4953-9bd8-9236d2fa494a · outbound

This paper cites (2024, September).

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward (2024, September)

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:29.123955Z

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Unavailable: canonical work link unavailable.

Observation a31c0f4f-a545-4696-a162-acccf311d244 · outbound

This paper cites Generation of Walking Motions Based on Whole-Body Poses and QP Control,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Generation of Walking Motions Based on Whole-Body Poses and QP Control,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:29.250145Z

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Observation 65aa7bbf-9220-4e96-9849-e9b5c987dc6c · outbound

This paper cites Universal Humanoid Motion Representations for Physics-Based Control.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Universal Humanoid Motion Representations for Physics-Based Control

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:29.320581Z

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Observation 12de1640-8760-4e47-b774-ce6c55b0bbdd · outbound

This paper cites FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:29.425167Z

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Observation 1e8cb9f0-b4cc-455f-9885-286d358f61f4 · outbound

This paper cites A., Dashtipour, K., Zahid, A., Abbasi, Q.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward A., Dashtipour, K., Zahid, A., Abbasi, Q

Reference 90

Resolution: verified exact; doi, observed 2026-08-07T12:06:44.715554Z

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Observation 8abf7560-10be-43ea-9c4d-22e6592f5dd9 · outbound

This paper cites Generative adversarial networks,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Generative adversarial networks,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:29.607449Z

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Observation 0f42e6a0-6e47-4248-b15e-aa28d27a65d6 · outbound

This paper cites ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:44.619111Z

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Observation 1623039b-a542-4786-95b6-9e93ed77790a · outbound

This paper cites To Create What You Tell: Generating Videos from Captions.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward To Create What You Tell: Generating Videos from Captions

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:44.439365Z

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Observation 19c5543a-3a15-41b6-a155-ea208e796a4a · outbound

This paper cites IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation,

Reference 94

Resolution: verified exact; doi, observed 2026-08-07T12:06:44.299463Z

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Observation f6bf029a-3e09-4889-a790-94b16f87278c · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:29.975643Z

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Observation b7d8cb2f-9664-4298-825e-16dd0ee75eb7 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:30.065913Z

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Observation d5859b0d-a854-422b-874f-5ca1e8a595a8 · outbound

This paper cites Vehicle-to-Everything Cooperative Perception for Autonomous Driving.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:30.153165Z

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Observation 2c4610ea-8f03-49e2-8914-59561190b9c1 · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward A Style-Based Generator Architecture for Generative Adversarial Networks,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:30.250657Z

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Observation cb24eafc-e863-4f99-8bb8-6fe256fc3470 · outbound

This paper cites Analyzing and Improving the Image Quality of StyleGAN.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Analyzing and Improving the Image Quality of StyleGAN

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:30.344455Z

Source-reported events for the cited work

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Observation 7aaf507c-fefd-4ab2-a693-b284580cd764 · outbound

This paper cites Anatomically-Informed Vector Quantization Variational Auto-Encoder for Text to Motion Generation,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Anatomically-Informed Vector Quantization Variational Auto-Encoder for Text to Motion Generation,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:30.470834Z

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Observation 5688a39e-7312-48d5-90c6-5d7c2f3871c8 · outbound

This paper cites Human motion generation with StyleGAN,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Human motion generation with StyleGAN,

Reference 101

Resolution: verified exact; doi, observed 2026-08-07T12:06:44.036202Z

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Observation 9a527ddb-3112-44d7-b1d2-154ab9c71596 · outbound

This paper cites Text2Action: Generative Adversarial Synthesis from Language to Action.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Text2Action: Generative Adversarial Synthesis from Language to Action

Reference 102

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:43.867483Z

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Observation 6679e2f6-7030-4251-8bf5-4fcd2c3eebc3 · outbound

This paper cites Synthesis of Compositional Animations from Textual Descriptions.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Synthesis of Compositional Animations from Textual Descriptions

Reference 103

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:43.729758Z

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Observation 69650bb8-d6ba-4bae-bcf4-0e68f41f404e · outbound

This paper cites TransCGan-based human motion generator,.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward TransCGan-based human motion generator,

Reference 104

Resolution: verified exact; doi, observed 2026-08-07T12:06:43.551186Z

Source-reported events for the cited work

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