MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation | Paper Citation Record

Observation 8cee1c3d-4d3b-4c04-bcf2-587a78f80c85 · outbound

This paper cites A morphable model for the synthesis of 3d faces.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation A morphable model for the synthesis of 3d faces

Reference 1

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Observation b4f8edd8-0cc6-47df-afb1-b065500818bb · outbound

This paper cites Hierarchical cross-modal talking face generation with dynamic pixel-wise loss.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Hierarchical cross-modal talking face generation with dynamic pixel-wise loss

Reference 2

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Observation fc95a1b9-b64f-41a4-bf41-efd907fe8f5c · outbound

This paper cites You said that?.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation You said that?

Reference 3

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Observation b4d553b6-7fa0-4490-9a37-b2ebf5c3621f · outbound

This paper cites Lip reading sentences in the wild.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Lip reading sentences in the wild

Reference 4

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Observation 23f4c44d-469a-4e9a-879e-8adeea596953 · outbound

This paper cites Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set

Reference 5

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Observation 1d9fa577-2ed1-4238-a56d-6653311e1b01 · outbound

This paper cites Dae-talker: High fidelity speech-driven talking face generation with diffusion autoen- coder.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Dae-talker: High fidelity speech-driven talking face generation with diffusion autoen- coder

Reference 6

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This paper cites Generative adversarial networks.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Generative adversarial networks

Reference 7

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Observation 5fe11f5c-a2a4-4837-a253-a6c786e08c48 · outbound

This paper cites Ad-nerf: Audio driven neural radi- ance fields for talking head synthesis.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Ad-nerf: Audio driven neural radi- ance fields for talking head synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:29.242496Z

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Observation 03a3c0e8-84a5-4ecf-810d-a754cbdf8bd8 · outbound

This paper cites Facexhubert: Text-less speech-driven e (x) pressive 3d facial animation synthesis using self-supervised speech representation learn- ing.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Facexhubert: Text-less speech-driven e (x) pressive 3d facial animation synthesis using self-supervised speech representation learn- ing

Reference 9

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Observation 7c1bd97c-5501-4a64-aa92-1ca5b3f01f88 · outbound

This paper cites GAIA: Zero-shot Talking Avatar Generation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation GAIA: Zero-shot Talking Avatar Generation

Reference 10

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Observation f1a09b4b-2371-44f8-b2bc-3d9669cd06b6 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 11

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Observation 0328e1ad-3b23-491a-b9fe-563c3d8b4f84 · outbound

This paper cites Implicit identity representation conditioned memory compensation network for talking head video generation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Implicit identity representation conditioned memory compensation network for talking head video generation

Reference 12

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Observation fe1ef8fa-8c66-4cda-a6bb-dd4350f8f3f8 · outbound

This paper cites DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Reference 13

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Observation 167f1b13-1462-49b2-9c92-1bc5f0dac928 · outbound

This paper cites Depth-aware generative adversarial network for talking head video generation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Depth-aware generative adversarial network for talking head video generation

Reference 14

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Observation aa640803-062e-4a2a-9704-f5eec816209f · outbound

This paper cites Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation

Reference 15

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Observation 84f58e79-35e0-4779-a77f-f2f8913b2b09 · outbound

This paper cites Audio-driven emotional video portraits.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Audio-driven emotional video portraits

Reference 17

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Observation 8243d0ef-8a90-4b24-a7cf-e347d3ca4fa7 · outbound

This paper cites Transformers in vision: A survey.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Transformers in vision: A survey

Reference 18

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Observation d4d0c738-bfa5-4595-a262-3ad63505262d · outbound

This paper cites Deep video portraits.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Deep video portraits

Reference 19

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Observation b6204282-38eb-45d7-8ddf-72ca548fb991 · outbound

This paper cites Auto-Encoding Variational Bayes.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Auto-Encoding Variational Bayes

Reference 20

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Observation e7716d64-440d-4cf7-8da5-33d4e7156fef · outbound

This paper cites AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding

Reference 21

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Observation 6230e1cb-f0f8-44d4-910c-4e30cc395eec · outbound

This paper cites Moda: Mapping-once audio-driven portrait animation with dual attentions.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Moda: Mapping-once audio-driven portrait animation with dual attentions

Reference 22

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Observation cc2d224c-570b-4ae8-9600-2000bb2cc771 · outbound

This paper cites Live speech por- traits: real-time photorealistic talking-head animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Live speech por- traits: real-time photorealistic talking-head animation

Reference 23

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Observation 602d3749-d771-43e3-9f6e-6b43b772e56d · outbound

This paper cites Training strategies for improved lip- reading.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Training strategies for improved lip- reading

Reference 24

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Observation 3d446572-f400-4b64-92f0-d6db6a9cd57a · outbound

This paper cites DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

Reference 25

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This paper cites DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer

Reference 26

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This paper cites Librispeech: An asr corpus based on public do- main audio books.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Librispeech: An asr corpus based on public do- main audio books

Reference 27

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This paper cites A lip sync expert is all you need for speech to lip generation in the wild.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation A lip sync expert is all you need for speech to lip generation in the wild

Reference 28

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

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation High-resolution image syn- thesis with latent diffusion models

Reference 29

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This paper cites pytorch-fid: FID Score for PyTorch.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation pytorch-fid: FID Score for PyTorch

Reference 30

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This paper cites Difftalk: Crafting diffusion models for generalized audio-driven portraits animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Difftalk: Crafting diffusion models for generalized audio-driven portraits animation

Reference 31

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This paper cites First order motion model for image animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation First order motion model for image animation

Reference 32

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Observation 6b328f7e-e45c-473a-b45c-e6a49c2fb524 · outbound

This paper cites Denoising Diffusion Implicit Models.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Denoising Diffusion Implicit Models

Reference 33

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Observation db8b93ee-57c1-445e-8a74-f7e50d88e5a7 · outbound

This paper cites Talking Face Generation by Conditional Recurrent Adversarial Network.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Talking Face Generation by Conditional Recurrent Adversarial Network

Reference 34

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This paper cites Diffused heads: Diffusion models beat gans on talking-face genera- tion.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Diffused heads: Diffusion models beat gans on talking-face genera- tion

Reference 35

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Observation d31bcbb6-b8f8-42cb-b8a4-c4d34335d420 · outbound

This paper cites VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior

Reference 36

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Observation 3c3df29d-292f-4f0d-a801-1f09a062b89d · outbound

This paper cites Masked lip-sync prediction by audio-visual contextual exploitation in transformers.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Masked lip-sync prediction by audio-visual contextual exploitation in transformers

Reference 37

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This paper cites Synthesizing obama: learn- ing lip sync from audio.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Synthesizing obama: learn- ing lip sync from audio

Reference 38

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This paper cites Human-centric founda- tion models: Perception, generation and agentic modeling.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Human-centric founda- tion models: Perception, generation and agentic modeling

Reference 39

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Observation 595754d1-34d3-431e-bb73-9d6e071cbc06 · outbound

This paper cites Neural voice puppetry: Audio-driven facial reenactment.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Neural voice puppetry: Audio-driven facial reenactment

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This paper cites EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

Reference 41

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This paper cites Xintao Wang, Honglun Zhang, Chao Dong, and Ying Shan.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Xintao Wang, Honglun Zhang, Chao Dong, and Ying Shan

Reference 42

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This paper cites AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation

Reference 43

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MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Photorealistic audio-driven video portraits

Reference 44

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Observation bc2f2c89-b3ef-4d21-8fc4-bdd1eb374986 · outbound

This paper cites Monocular depth estimation using multi-scale continuous crfs as sequential deep networks.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Monocular depth estimation using multi-scale continuous crfs as sequential deep networks

Reference 45

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Observation 4f8d4c40-5d73-4182-855e-64329f5e6bcd · outbound

This paper cites Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation

Reference 46

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This paper cites Jointly attentive spatial-temporal pooling networks for video-based person re-identification.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Jointly attentive spatial-temporal pooling networks for video-based person re-identification

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:23.054479Z

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Observation dca78684-f3f4-463c-bd87-e6cd7a31d531 · outbound

This paper cites VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Reference 48

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Observation dff6ae6e-ce79-4f35-a1a7-bbd36534cfdc · outbound

This paper cites Sadtalker: Learning realistic 3d motion coefficients for stylized audio- driven single image talking face animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Sadtalker: Learning realistic 3d motion coefficients for stylized audio- driven single image talking face animation

Reference 49

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Observation 75e3770d-6dcf-4c39-a418-8e21e67f5dbd · outbound

This paper cites Flow-guided one-shot talking face generation with a high- resolution audio-visual dataset.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Flow-guided one-shot talking face generation with a high- resolution audio-visual dataset

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:22.536446Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b552dea-6b52-4284-a90d-f2bb8f8158d8 · outbound

This paper cites Thin-plate spline motion model for image animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Thin-plate spline motion model for image animation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:22.300827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be9364e6-806f-4294-96bd-d1152f147fb2 · outbound

This paper cites Synergizing motion and appearance: Multi-scale com- pensatory codebooks for talking head video generation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Synergizing motion and appearance: Multi-scale com- pensatory codebooks for talking head video generation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:22.071391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8869ee41-c585-4503-9ad9-5b28eb0f11cc · outbound

This paper cites Talking face generation by adversarially disentangled audio-visual representation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Talking face generation by adversarially disentangled audio-visual representation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:21.866644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 689b50cd-62c7-4faf-8a0e-6f3f39699a20 · outbound

This paper cites Pose-controllable talking face generation by implicitly modularized audio-visual rep- resentation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Pose-controllable talking face generation by implicitly modularized audio-visual rep- resentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:21.588387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16ce3c0d-c8d6-4417-98a8-ce28ee3543ca · outbound

This paper cites Makelttalk: speaker-aware talking-head animation.

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation Makelttalk: speaker-aware talking-head animation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:21.405568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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