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Research map / 3D vision / Face and shape

Speech-driven 3D facial animation

Synthesizes expressive 3D facial motion from audio using discrete priors and probabilistic generation.

32 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Face and shape, keyword cluster “3d face · face reconstruction · faces”

State History Tried Checklist Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

11 papers in 2023–24 and 11 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic held steady, from 3.0% to 3.0%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 1162017: 0172018: 1182019: 2192020: 0202021: 1212022: 5222023: 6232024: 5242025: 8252026: 326

Most cited paper of each year

Earliest papers here

What has been tried

29 papers here report 255 measured changes (a component added, removed or swapped, compared with a baseline): helped 77%, no clear effect 5%, hurt 15%, mixed 2%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Replace the Audio-Visual Encoder with HuBERTMay · LMD2.8032 -> 3.3961HurtSyncTalk: The Devil is in the Synchronization for Talking Head Synthesis (CVPR 2024 · 76 citations)
Add the content encoder during training3D-HDTF-Test-A · FVE (×10^-6 mm)0.664 -> 0.551HelpedMimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation (AAAI 2024 · 17 citations)
Replace autoregressive transformer with a convolutional architectureSpeech-driven facial motion synthesis · Sync Score0.4634 -> 0.217HurtProbabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications (CVPR 2024 · 16 citations)
Replace TH-VQVAE with VAEMEAD · Emo-FID15.15 -> 102.2HurtDEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation (AAAI 2025 · 11 citations)
Replace the proposed representation with 3D SyncNetVOCASET test · PLRS0.463 -> 0.435HurtPerceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics (CVPR 2025 · 5 citations)
Use joint motion-texture generation instead of motion-only generationTexTalker4D-Test-A · LVE1.73 -> 1.49HelpedTowards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture (CVPR 2025 · 3 citations)
add face-body motion decomposition (separate face and body motion estimation)Talking-UB · L10.068 -> 0.035HelpedPTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping (AAAI 2024 · 3 citations)
Use ArcFace features collected from five images rather than identity conditioning from a single in-the-wild picture3D head identity conditioning · identity similarityHelpedID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling (NeurIPS 2024 · 2 citations)
add 3DMM-based coarse controlHDTF · LMD2.187 -> 1.511HelpedHierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis (AAAI 2025 · 1 citation)
add F0 conditioning3DTH-Test · Beat Alignment0.240 -> 0.306HelpedProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition (AAAI 2025 · 1 citation)
Add background music inputChorusHead · PPE0.1295 -> 0.0948HelpedLet's Chorus: Partner-aware Hybrid Song-Driven 3D Head Animation (CVPR 2025 · 1 citation)
Add a single-scale appearance token T'LRS3 · LPIPS0.109 -> 0.095HelpedTEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction (ICLR 2025 · 1 citation)

What reviewers will expect

Datasets and baselines named in the 9 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • HDTF · 4 of 9 papers
  • VOCASET · 4 of 9 papers
  • MEAD · 3 of 9 papers
  • BIWI · 3 of 9 papers
  • LRS3 · 2 of 9 papers

Baselines

  • FaceFormer · 6 of 9 papers
  • CodeTalker · 6 of 9 papers
  • SelfTalk · 4 of 9 papers
  • DiffPoseTalk · 3 of 9 papers
  • FaceDiffuser · 2 of 9 papers
  • DECA · 2 of 9 papers
  • SMIRK · 2 of 9 papers
  • Deep3DFace · 2 of 9 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 22 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 31 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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