FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance | Paper Citation Record

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This paper cites GPT-4 Technical Report.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance GPT-4 Technical Report

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This paper cites Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation

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This paper cites Learned neural physics sim- ulation for articulated 3d human pose reconstruction.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Learned neural physics sim- ulation for articulated 3d human pose reconstruction

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This paper cites Physics-Informed Computer Vision: A Review and Perspectives.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physics-Informed Computer Vision: A Review and Perspectives

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FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physics-informed computer vision: A re- view and perspectives

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This paper cites Video generation models as world simulators.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Video generation models as world simulators

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This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

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This paper cites Finecliper: Multi-modal fine-grained clip for dynamic facial expression recognition with adapters.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Finecliper: Multi-modal fine-grained clip for dynamic facial expression recognition with adapters

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This paper cites GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting

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This paper cites Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning

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This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models

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This paper cites Temporal Regularization Makes Your Video Generator Stronger.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Temporal Regularization Makes Your Video Generator Stronger

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This paper cites Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning

Reference 13

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This paper cites Disentangling structured components: Towards adaptive, interpretable and scalable time series forecasting.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Disentangling structured components: Towards adaptive, interpretable and scalable time series forecasting

Reference 14

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FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Parsimony or capability? decomposition delivers both in long-term time series forecasting

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This paper cites Revisiting skeleton-based action recognition.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Revisiting skeleton-based action recognition

Reference 16

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This paper cites Taming transformers for high-resolution image synthesis.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Taming transformers for high-resolution image synthesis

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This paper cites Structure and content-guided video synthesis with diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Structure and content-guided video synthesis with diffusion models

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This paper cites Hu- manrefiner: Benchmarking abnormal human generation and refining with coarse-to-fine pose-reversible guidance.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Hu- manrefiner: Benchmarking abnormal human generation and refining with coarse-to-fine pose-reversible guidance

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This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 20

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This paper cites Differentiable dynamics for articu- lated 3d human motion reconstruction.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Differentiable dynamics for articu- lated 3d human motion reconstruction

Reference 21

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This paper cites Trajectory optimization for physics-based re- construction of 3d human pose from monocular video.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Trajectory optimization for physics-based re- construction of 3d human pose from monocular video

Reference 22

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This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

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This paper cites Sparsectrl: Adding sparse controls to text-to-video diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Sparsectrl: Adding sparse controls to text-to-video diffusion models

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This paper cites Photorealistic video generation with diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Photorealistic video generation with diffusion models

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This paper cites Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation

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FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Denoising dif- fusion probabilistic models

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This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

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This paper cites Neural mocon: Neural motion control for phys- ically plausible human motion capture.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Neural mocon: Neural motion control for phys- ically plausible human motion capture

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This paper cites VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models

Reference 30

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This paper cites SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization

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FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Unresolved cited work

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This paper cites Humansd: A native skeleton-guided diffusion model for human image generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Humansd: A native skeleton-guided diffusion model for human image generation

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This paper cites Generalization in diffusion models arises from geometry-adaptive harmonic representations.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Generalization in diffusion models arises from geometry-adaptive harmonic representations

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FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Pix2gif: Motion-guided diffusion for gif generation

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Observation cfd42263-41fe-45bc-b4c8-47a758bb6c51 · outbound

This paper cites How far is video generation from world model: A physical law perspective,.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance How far is video generation from world model: A physical law perspective,

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This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Text2video-zero: Text- to-image diffusion models are zero-shot video generators

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Pick-a-pic: An open dataset of user preferences for text-to-image generation

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FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Harivo: Harnessing text-to-image models for video generation

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Observation fa3a50c4-bceb-46cf-b55a-6ab8d9617d06 · outbound

This paper cites GD-VDM: Generated Depth for better Diffusion-based Video Generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance GD-VDM: Generated Depth for better Diffusion-based Video Generation

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This paper cites Movideo: Motion-aware video generation with diffusion model.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Movideo: Motion-aware video generation with diffusion model

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This paper cites A quick tutorial on multibody dynamics.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance A quick tutorial on multibody dynamics

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Observation 6ca6d795-de96-4c96-a606-34762711eb26 · outbound

This paper cites Physgen: Rigid-body physics-grounded image- to-video generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physgen: Rigid-body physics-grounded image- to-video generation

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This paper cites Spe- cialist diffusion: Plug-and-play sample-efficient fine-tuning of text-to-image diffusion models to learn any unseen style.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Spe- cialist diffusion: Plug-and-play sample-efficient fine-tuning of text-to-image diffusion models to learn any unseen style

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86a64318-8248-489a-93cd-25884fb8c4bc · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Latte: Latent Diffusion Transformer for Video Generation

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This paper cites Follow your pose: Pose- guided text-to-video generation using pose-free videos.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Follow your pose: Pose- guided text-to-video generation using pose-free videos

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.792158Z

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Observation cad2a716-a9e7-4d55-b535-579b1bbf8201 · outbound

This paper cites Amass: Archive of motion capture as surface shapes.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Amass: Archive of motion capture as surface shapes

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.770637Z

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Observation dd61e983-3dbc-40e9-a238-0aca2a0d9ec7 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.683391Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa2ac069-c127-4791-8648-1a3e35665eda · outbound

This paper cites A mathematical introduction to robotic manipulation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance A mathematical introduction to robotic manipulation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.615182Z

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Observation bd3e2926-2dd5-42c0-845d-b74c8ec7f694 · outbound

This paper cites Conditional image-to-video gener- ation with latent flow diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Conditional image-to-video gener- ation with latent flow diffusion models

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Observation 7fc85a9e-f906-4285-9f37-3644ec1523d8 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:03.635633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18f8a8a-aed4-44e4-8284-86dee8233d02 · outbound

This paper cites Mevg: Multi-event video generation with text-to-video models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Mevg: Multi-event video generation with text-to-video models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.569954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1482aa4-fe1c-4a2a-84c4-1839deb75cf4 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Learning transferable visual models from natural language supervi- sion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.558763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a21b3b0-dcbf-4455-b918-c12c82cb42a6 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:03.750080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52ec9211-95a7-4bc0-8e53-884343656002 · outbound

This paper cites Zero-shot text-to-image generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Zero-shot text-to-image generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:03.843076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa272b0d-3b1e-436b-8fd4-d8cc1051f258 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:03.887237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116c50f4-c3b4-44c2-9ffb-967d670f338e · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance High-resolution image synthesis with latent diffusion models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.533944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e82a81c-7e1a-40e1-beda-6a68eb6fd8b8 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance U- net: Convolutional networks for biomedical image segmen- tation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.522953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ceadf5d-9bc3-4886-8dd2-e220bb400d42 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Photorealistic text-to-image diffusion models with deep language understanding

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.053231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e526d67c-2a60-4c46-a23b-0ded63276e4c · outbound

This paper cites Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.117232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e7b395-22dc-498d-ac13-25793fbad6e5 · outbound

This paper cites Find and focus: Retrieve and localize video events with natural language queries.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Find and focus: Retrieve and localize video events with natural language queries

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.490844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be137cfd-dce0-42c7-b821-50b178c8f92f · outbound

This paper cites Finegym: A hierarchical video dataset for fine-grained action under- standing.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Finegym: A hierarchical video dataset for fine-grained action under- standing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.479627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a7e6b93-5e7a-4dec-ac2e-7b4e678ffc6c · outbound

This paper cites Intra-and inter-action understanding via temporal action parsing.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Intra-and inter-action understanding via temporal action parsing

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.361893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6692cbce-3922-471f-a8d7-a3e73293816c · outbound

This paper cites Neural monocular 3d human motion capture with physical awareness.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Neural monocular 3d human motion capture with physical awareness

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.317155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df2c297b-acd3-46c5-8d5a-30da29c89d99 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Score-Based Generative Modeling through Stochastic Differential Equations

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.295955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9635e50-3e12-4117-9d8f-2a436796f513 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.305294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca95ab0-53cb-4c15-bc82-52500d944c38 · outbound

This paper cites Predicting human poses via recurrent attention network.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Predicting human poses via recurrent attention network

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.264574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a40711c8-cfb8-4130-8a34-f7583e176d0d · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.312572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2875bf71-33fa-424b-af86-f5f36bf23ec3 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.315157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbbaaac6-3069-4cd1-a440-7a599f119f73 · outbound

This paper cites Recovering ac- curate 3d human pose in the wild using imus and a moving camera.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Recovering ac- curate 3d human pose in the wild using imus and a moving camera

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.318559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a4cf84-ee2a-4de0-9b90-7be29c81babc · outbound

This paper cites Skeleton-in-context: Unified skeleton sequence modeling with in-context learning.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Skeleton-in-context: Unified skeleton sequence modeling with in-context learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.239333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77de5cf2-7eff-47d9-91e9-439bbb3cae96 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Motionctrl: A unified and flexible motion controller for video generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.326414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ed9a91-6e93-4fb6-a13f-4e782a12c652 · outbound

This paper cites Cat: a coarse-to-fine attention tree for semantic change detection.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Cat: a coarse-to-fine attention tree for semantic change detection

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.221066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 97be47af-ac10-4e16-b6ea-5e0dfdbde5d0 · outbound

This paper cites Physics-based human motion es- timation and synthesis from videos.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physics-based human motion es- timation and synthesis from videos

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.207996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 52d857f4-d113-42b9-95b7-aecd9d5165e6 · outbound

This paper cites Icon: Implicit clothed humans obtained from nor- mals.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Icon: Implicit clothed humans obtained from nor- mals

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.190007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8c27189-7d0b-4740-90f4-1642a21b9ab4 · outbound

This paper cites Econ: Explicit clothed humans optimized via normal integration.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Econ: Explicit clothed humans optimized via normal integration

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:06.075367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7708a617-bce6-4612-9fce-d15c7ac6c0ab · outbound

This paper cites Dialoguenerf: Towards realistic avatar face- to-face conversation video generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Dialoguenerf: Towards realistic avatar face- to-face conversation video generation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.354989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3885c4-1c1b-4ca7-a4c1-c20caf056d5a · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.432744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19d69985-2187-4300-8bae-67f57ba7d463 · outbound

This paper cites Video probabilistic diffusion models in projected latent space.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Video probabilistic diffusion models in projected latent space

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.566528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c3d645c-2815-4e65-8e37-c52cad5711cd · outbound

This paper cites Simpoe: Simulated character control for 3d hu- man pose estimation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Simpoe: Simulated character control for 3d hu- man pose estimation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:05.961590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99013085-e542-49a3-96a6-14029634fbc0 · outbound

This paper cites Physdiff: Physics-guided human motion diffusion model.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physdiff: Physics-guided human motion diffusion model

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.613063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f4ef093-4ec9-44fe-922f-4c9c5140c887 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Adding conditional control to text-to-image diffusion models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.616783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3013cd8c-6d11-4a10-9ef4-147fe0eef945 · outbound

This paper cites Physics-based interaction with 3d ob- jects via video generation.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physics-based interaction with 3d ob- jects via video generation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:05.925189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ed73532-a72d-41a6-965d-b1cb93d0a1d0 · outbound

This paper cites Physpt: Physics-aware pretrained transformer for estimating human dynamics from monocular videos.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physpt: Physics-aware pretrained transformer for estimating human dynamics from monocular videos

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:05.801978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62e24535-b19a-47a9-a3da-694f77818804 · outbound

This paper cites Incorporating physics principles for precise human motion prediction.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Incorporating physics principles for precise human motion prediction

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:04.629361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a62b1bd-f5d5-4bc9-9667-9d98d91139f7 · outbound

This paper cites Pimnet: Physics-infused neural network for human motion prediction.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Pimnet: Physics-infused neural network for human motion prediction

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:05.783500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf499fed-c7d1-4f20-b899-61f0f4582e8b · outbound

This paper cites Magdiff: Multi-alignment diffusion for high-fidelity video generation and editing.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Magdiff: Multi-alignment diffusion for high-fidelity video generation and editing

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:05.769487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a4ba907-a098-4be0-9b38-d99dac689022 · outbound

This paper cites Motiondirector: Motion customization of text-to-video diffusion models.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Motiondirector: Motion customization of text-to-video diffusion models

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:05.604785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2affa2f-f2a6-4366-92f6-3c0d516c16b5 · outbound

This paper cites For each gymnastics move described in the labels below, write a detailed description as if explaining to someone who is unfamiliar with gymnastics.

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance For each gymnastics move described in the labels below, write a detailed description as if explaining to someone who is unfamiliar with gymnastics

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:05.223129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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