FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation | Paper Citation Record

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This paper cites https : / / www.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation https : / / www

Reference 1

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This paper cites https : //www.youtube.com/watch?v=24yjRbBah3w ,.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation https : //www.youtube.com/watch?v=24yjRbBah3w ,

Reference 2

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This paper cites https : //www.reddit.com/r/AskReddit/comments/ y8oe9l/why_ai_cant_draw_hands/ ,.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation https : //www.reddit.com/r/AskReddit/comments/ y8oe9l/why_ai_cant_draw_hands/ ,

Reference 3

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This paper cites Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

Reference 4

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This paper cites Renderdiffusion: Image diffusion for 3d reconstruction, in- painting and generation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Renderdiffusion: Image diffusion for 3d reconstruction, in- painting and generation

Reference 5

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Observation 9d322d04-5c11-43af-801c-fe958cf52c4c · outbound

This paper cites Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models

Reference 6

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This paper cites an unresolved cited work.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Unresolved cited work

Reference 7

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Observation 2d27f082-8595-4a63-8db0-b60e96fbf2f7 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Efficient geometry-aware 3d generative adversarial networks

Reference 8

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Observation ca3c1646-f7e2-4f56-be12-59328fbc7a47 · outbound

This paper cites Chan, Koki Nagano, Matthew A.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Chan, Koki Nagano, Matthew A

Reference 9

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This paper cites Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, and Di- eter Fox.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, and Di- eter Fox

Reference 10

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Observation f1e28410-319a-488b-902c-80a229b915ec · outbound

This paper cites Unpaired pose guided human image generation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Unpaired pose guided human image generation

Reference 11

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Observation ea09f95a-979d-4207-a4fc-ca29000406b1 · outbound

This paper cites 4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation 4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations

Reference 12

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Observation e3855e28-0dcd-47f8-8bef-18f2cf7be92f · outbound

This paper cites Rescaling egocentric vision: Collection, pipeline and chal- lenges for epic-kitchens-100.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Rescaling egocentric vision: Collection, pipeline and chal- lenges for epic-kitchens-100

Reference 13

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Observation 17caaad6-b3c5-4ca4-a42d-ecd84b56dba2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Imagenet: A large-scale hierarchical image database

Reference 14

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Observation ff810ff3-331a-4058-a1f6-85d27fc82fdf · outbound

This paper cites Disentangled and controllable face image genera- tion via 3d imitative-contrastive learning.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Disentangled and controllable face image genera- tion via 3d imitative-contrastive learning

Reference 15

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Observation 0e922358-2f0c-4044-adb1-be24e7c38c54 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

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Observation c74e349c-a5b1-4e76-a376-e5c48e0c31fd · outbound

This paper cites Diffusion models beat gans on image synthesis.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Diffusion models beat gans on image synthesis

Reference 17

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Observation 54fb19f5-9403-4870-b659-1c72c4a6336c · outbound

This paper cites Scalable pre-training of large autoregressive image models, 2024.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Scalable pre-training of large autoregressive image models, 2024

Reference 18

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This paper cites Black, and Otmar Hilliges.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Black, and Otmar Hilliges

Reference 19

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Observation 2e9b82ee-30bd-4dbb-8d5b-5a09c3258f0a · outbound

This paper cites SignLLM: Sign Language Production Large Language Models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation SignLLM: Sign Language Production Large Language Models

Reference 20

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Observation 1e9d2733-fba6-490a-aacb-93f5261a68e9 · outbound

This paper cites DreaMoving: A Human Video Generation Framework based on Diffusion Models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 21

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Observation 1a42e2e7-61d6-4d18-94b4-013a320d8701 · outbound

This paper cites Dart: Articulated hand model with diverse accessories and rich textures.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Dart: Articulated hand model with diverse accessories and rich textures

Reference 22

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Observation 5667f851-ff32-4828-ad5b-b38bec39d6c5 · outbound

This paper cites Vivid-1-to-3: Novel view synthesis with video diffusion models, 2023.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Vivid-1-to-3: Novel view synthesis with video diffusion models, 2023

Reference 23

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Observation caa081b5-8068-4414-98df-422dc13d72bc · outbound

This paper cites Generative adversarial nets.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Generative adversarial nets

Reference 24

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Observation 1e0bf663-727f-43a3-ad48-3c56be94224e · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Ego4d: Around the world in 3,000 hours of egocentric video

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Observation 6441cd99-eb68-4c17-9b4e-ab0b29fc1d69 · outbound

This paper cites Effects of hand representations for typing in virtual reality.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Effects of hand representations for typing in virtual reality

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Observation 8824dae1-b78c-4b8e-a7b2-0a897538a0f6 · outbound

This paper cites Sparsectrl: Adding sparse controls to text-to-video diffusion models, 2023.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Sparsectrl: Adding sparse controls to text-to-video diffusion models, 2023

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Observation 010aa7a2-b246-4f7d-a760-11fcf25882ff · outbound

This paper cites Classifier-free diffusion guidance, 2022.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Classifier-free diffusion guidance, 2022

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Observation c0113cd5-4be9-4591-8d4d-0dd0126e37b8 · outbound

This paper cites Denoising dif- fusion probabilistic models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Denoising dif- fusion probabilistic models

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Observation 86a8e38b-2ce5-48af-a9ce-469a54a34817 · outbound

This paper cites Model-aware gesture-to-gesture transla- tion.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Model-aware gesture-to-gesture transla- tion

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Observation 88b92e8e-30e0-4d75-ad36-000bc9617c18 · outbound

This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

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FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Unresolved cited work

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Observation 56c461c5-d6bd-4774-9555-c3888014d457 · outbound

This paper cites Hagrid – hand gesture recognition image dataset.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Hagrid – hand gesture recognition image dataset

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Observation 8c7a27cb-0569-41d9-9e30-e07d4cee47cf · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation A style-based generator architecture for generative adversarial networks

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Observation 9b47f4a4-2320-42ae-b506-f387febbff42 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation 3d gaussian splatting for real-time radiance field rendering

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Observation 8231373b-c16b-4e1a-a553-0ec509d6b4fe · outbound

This paper cites Sapiens: Foundation for human vi- sion models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Sapiens: Foundation for human vi- sion models

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Observation 6684b4af-c34c-439c-ac30-5b4fcaf09220 · outbound

This paper cites Segment Anything.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Segment Anything

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Observation 182ecff7-4513-498f-9d3a-e0be2f9e44c2 · outbound

This paper cites Graspdiffusion: Synthe- sizing realistic whole-body hand-object interaction.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Graspdiffusion: Synthe- sizing realistic whole-body hand-object interaction

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Observation 56a81235-a279-47d8-9c2d-ff6c3cca11b7 · outbound

This paper cites Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison

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This paper cites Vihope: Visuotactile in-hand object 6d pose estimation with shape completion.IEEE Robotics and Automation Let- ters, 2023.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Vihope: Visuotactile in-hand object 6d pose estimation with shape completion.IEEE Robotics and Automation Let- ters, 2023

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Observation e82b506c-e957-46ec-89b8-2c8e09dd46e2 · outbound

This paper cites Renderih: A large-scale synthetic dataset for 3d interacting hand pose estimation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Renderih: A large-scale synthetic dataset for 3d interacting hand pose estimation

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This paper cites Mesh graphormer.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Mesh graphormer

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Observation 4a6b43a4-c499-4b96-9772-624f20fdb82d · outbound

This paper cites Microsoft coco: Common objects in context.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Microsoft coco: Common objects in context

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Observation a3609584-18a1-4811-8a97-78b930c7702d · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object, 2023.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Zero-1-to-3: Zero-shot one image to 3d object, 2023

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Observation 884452b4-4854-4b80-acf8-188aabb274f8 · outbound

This paper cites Hoi4d: A 4d egocentric dataset for category-level human-object interaction.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Hoi4d: A 4d egocentric dataset for category-level human-object interaction

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Observation d44b2a32-7fcf-42a7-9085-4843bca518a1 · outbound

This paper cites Diva-360: The dynamic visual dataset for immersive neu- ral fields.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Diva-360: The dynamic visual dataset for immersive neu- ral fields

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:41.117246Z

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Observation 1f463a6d-2225-4293-8ce4-039596597a59 · outbound

This paper cites HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting

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Observation 04fae287-2ef3-4331-b68c-9dd5ef7a86a3 · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation MediaPipe: A Framework for Building Perception Pipelines

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Observation 73b98e06-5833-4348-b74b-2f2e7ce74f95 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Repaint: Inpainting using denoising diffusion probabilistic models,

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Observation 737cfe36-dc90-4747-bf56-e0b2870cdc81 · outbound

This paper cites Pose guided person image gener- ation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Pose guided person image gener- ation

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Observation 0d4fce3b-4db5-489c-9eae-7cabb623f476 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Nerf: Representing scenes as neural radiance fields for view syn- thesis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:41.080455Z

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Observation 2be8fe8d-d61e-46e4-a046-95c9c9f7a43c · outbound

This paper cites GenHeld: Generating and Editing Handheld Objects.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation GenHeld: Generating and Editing Handheld Objects

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Observation d2d8f302-320b-40ff-bebe-ab6544586cd8 · outbound

This paper cites TSDF-Sampling: Efficient Sampling for Neural Surface Field using Truncated Signed Distance Field.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation TSDF-Sampling: Efficient Sampling for Neural Surface Field using Truncated Signed Distance Field

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Observation dec68964-3d84-44f8-ba29-da5445f9dffa · outbound

This paper cites Interhand2.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Interhand2

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:41.066131Z

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Observation 5e9d0dcd-ccf5-49b1-997d-c953ac75c500 · outbound

This paper cites A dataset of relighted 3D interacting hands.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation A dataset of relighted 3D interacting hands

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:41.051486Z

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Observation 6fcf6795-1634-4660-9b00-aa2a9f869d12 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Instant neural graphics primitives with a multiresolution hash encoding

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Observation aaf7706f-37fb-4f10-bfc1-9ac0759781cb · outbound

This paper cites Han- diffuser: Text-to-image generation with realistic hand ap- pearances.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Han- diffuser: Text-to-image generation with realistic hand ap- pearances

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:41.026935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b6f62173-7fa0-44a2-96f0-12a894f20448 · outbound

This paper cites Han- diffuser: Text-to-image generation with realistic hand ap- pearances.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Han- diffuser: Text-to-image generation with realistic hand ap- pearances

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:41.011803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 285ead25-7c19-47ba-80c2-d596d56130a9 · outbound

This paper cites Im- proved denoising diffusion probabilistic models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Im- proved denoising diffusion probabilistic models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.996311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 855e82a8-1a1e-490c-8a4d-b47ee2eced3c · outbound

This paper cites Fsgan: Subject agnostic face swapping and reenactment.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Fsgan: Subject agnostic face swapping and reenactment

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.981293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 804582a4-fb67-44b3-b1c2-cd47c6665e6f · outbound

This paper cites Assemblyhands: Towards egocentric activity understanding via 3d hand pose estima- tion.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Assemblyhands: Towards egocentric activity understanding via 3d hand pose estima- tion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.965717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ae47099-1047-4944-9fe4-7642c600d065 · outbound

This paper cites AssemblyHands: towards egocentric activity understanding via 3d hand pose esti- mation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation AssemblyHands: towards egocentric activity understanding via 3d hand pose esti- mation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.949958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 711a706e-c010-48f5-8650-4dc14b2a7cbc · outbound

This paper cites an unresolved cited work.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:13:40.935098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e37a568b-5c4f-4a3b-867d-ab2154205ce5 · outbound

This paper cites AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:13:40.142684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06a77d6b-cb76-442e-b448-5d6873963ce3 · outbound

This paper cites Re- constructing hands in 3D with transformers.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Re- constructing hands in 3D with transformers

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.921828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d690d18b-b676-476d-a465-1a87cf5be3eb · outbound

This paper cites Scalable Diffusion Models with Transformers.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Scalable Diffusion Models with Transformers

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.601219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504ba44e-8a50-41ef-b2d3-23641047e9aa · outbound

This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.606288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0886d81b-7e34-4086-9a11-1e769b0f7724 · outbound

This paper cites Manus: Markerless grasp capture using articulated 3d gaussians.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Manus: Markerless grasp capture using articulated 3d gaussians

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.908049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1297eee8-a258-4d0a-9d18-080f317ec201 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Movie Gen: A Cast of Media Foundation Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.615983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bf10e4-8876-425c-a6fb-d4816704255b · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation DreamFusion: Text-to-3D using 2D Diffusion

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.620891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b274557a-20d1-446f-acb9-e36edd43d8b3 · outbound

This paper cites UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.625611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5536b0e-e5a3-4a53-a8c0-5c60130a8789 · outbound

This paper cites Handcraft: Anatomically correct restoration of malformed hands in diffusion generated images.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Handcraft: Anatomically correct restoration of malformed hands in diffusion generated images

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.893433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99fb7e86-e6a0-47e0-b9a0-0b128a6fe51b · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Learn- ing transferable visual models from natural language super- vision

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.635369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 903eb1f3-338d-4cb0-ba2f-05162cd72e1e · outbound

This paper cites Towards realistic generative 3d face models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Towards realistic generative 3d face models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.869052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f159a9a8-61f7-40c1-9b73-e2cc3e0af7bb · outbound

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

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Zero-shot text-to-image generation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.853208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4ebb817-cbe5-45bc-b2d8-eaa5e10e5630 · outbound

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

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.653005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f88909dd-6255-49d9-be80-4d5ac3a37934 · outbound

This paper cites Li, and Shan Liu.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Li, and Shan Liu

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.838555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54a7b607-1b87-4579-b6ea-e5995c8be928 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation High-resolution image synthesis with latent diffusion models, 2021

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.824095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9be73f9b-79eb-4359-9c00-5f373080e873 · outbound

This paper cites Embodied Hands: Modeling and Capturing Hands and Bodies Together.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Embodied Hands: Modeling and Capturing Hands and Bodies Together

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.672613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b270ee9-744c-4581-ae57-9a745c8901db · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.677799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d9ef023-879f-4c49-ad3f-f36f8f462fba · outbound

This paper cites GeoDiffuser: Geometry-Based Image Editing with Diffusion Models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation GeoDiffuser: Geometry-Based Image Editing with Diffusion Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.683089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822d904b-67e4-4f4b-a752-da1bd6ab77cc · outbound

This paper cites Zeronvs: Zero-shot 360-degree view synthesis from a single image.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Zeronvs: Zero-shot 360-degree view synthesis from a single image

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.810095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdcf1d90-e449-46e8-a573-9d66ef173bb4 · outbound

This paper cites Laion-5b: An open large-scale dataset for train- ing next generation image-text models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Laion-5b: An open large-scale dataset for train- ing next generation image-text models

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.796604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06ded6e3-1774-4975-bfa1-13ad6388701e · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.697124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5ccdfc-02c7-431b-97d6-e0dd911e50ae · outbound

This paper cites Sangineto, St ´ephane Lathuili `ere, and N.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Sangineto, St ´ephane Lathuili `ere, and N

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.782509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd641bcc-8a01-46cc-ba19-2798436ec265 · outbound

This paper cites Constrained 6-dof grasp gener- ation on complex shapes for improved dual-arm manipula- tion, 2024.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Constrained 6-dof grasp gener- ation on complex shapes for improved dual-arm manipula- tion, 2024

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.768199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef0cf0ed-8ad8-4f48-82d3-a753e328c1d9 · outbound

This paper cites Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:13:39.968213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f8d472b-fe95-4139-b07b-24fb2a547cae · outbound

This paper cites The effectiveness of mae pre-pretraining for billion-scale pretraining.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation The effectiveness of mae pre-pretraining for billion-scale pretraining

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.754359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bf720e2-4b64-4c18-9fa2-5b249691785f · outbound

This paper cites Weiss, Niru Mah- eswaranathan, and Surya Ganguli.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Weiss, Niru Mah- eswaranathan, and Surya Ganguli

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.741091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbe140d3-1f68-4002-8039-1376552457ed · outbound

This paper cites Denoising Diffusion Implicit Models.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Denoising Diffusion Implicit Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T23:13:39.722806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c43dfb-f75f-4553-acaa-c5b40b48d258 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.726698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb3dcc26-390a-4e6b-8627-c17dc214570a · outbound

This paper cites Controlling the world by sleight of hand, 2024.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Controlling the world by sleight of hand, 2024

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.711500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d86dc201-adfb-4c8b-898c-63ae9213b638 · outbound

This paper cites Dimensionx: Create any 3d and 4d scenes from a single image with con- trollable video diffusion, 2024.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Dimensionx: Create any 3d and 4d scenes from a single image with con- trollable video diffusion, 2024

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.696219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c679292-28ef-4c34-929a-060d8febe1cb · outbound

This paper cites Anycontrol: Create your artwork with versatile control on text-to-image generation, 2024.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Anycontrol: Create your artwork with versatile control on text-to-image generation, 2024

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.681304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 744b8409-1f51-4fdc-8f09-1cfdf9f31138 · outbound

This paper cites Controllable 3d generative adversarial face model via disentangling shape and appearance.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Controllable 3d generative adversarial face model via disentangling shape and appearance

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.665980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bd4bc85-fab6-4292-b334-02727af3e012 · outbound

This paper cites Total generate: Cycle in cy- cle generative adversarial networks for generating human faces, hands, bodies, and natural scenes.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Total generate: Cycle in cy- cle generative adversarial networks for generating human faces, hands, bodies, and natural scenes

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.650432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5cac24e-ecb4-4c56-9415-5e4cee056c54 · outbound

This paper cites an unresolved cited work.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:13:40.634330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b8eeb90-7c0f-4564-ba33-8a6a8d37aa2f · outbound

This paper cites Real-time continuous pose recovery of human hands using convolutional networks.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Real-time continuous pose recovery of human hands using convolutional networks

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.619441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8fa6d32-cfe4-4702-9ea3-8d5862db6946 · outbound

This paper cites Realishuman: A two- stage approach for refining malformed human parts in gen- erated images, 2024.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Realishuman: A two- stage approach for refining malformed human parts in gen- erated images, 2024

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.604560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc7bfdbd-8f15-446c-8af6-db621650c9be · outbound

This paper cites Hall, and Shimin Hu.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation Hall, and Shimin Hu

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:13:40.589826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers