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Diffusion-based human image animation

Animates portraits and human images with video diffusion, controllable motion and camera conditions.

126 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Video generation, keyword cluster “audio · editing · talking”

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.

16 papers in 2023–24 and 103 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 7.0% to 9.2%.

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: 1192020: 1202021: 1212022: 2222023: 5232024: 11242025: 49252026: 5426

Most cited paper of each year

Earliest papers here

What has been tried

71 papers here report 715 measured changes (a component added, removed or swapped, compared with a baseline): helped 78%, no clear effect 3%, hurt 18%, mixed 2%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
remove temporal attention layersTikTok · FVD179.07 -> 247.30HurtMagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model (CVPR 2024 · 143 citations)
use ReferenceNet instead of CLIP-only conditioningUBC fashion video dataset · SSIM0.897 -> 0.931HelpedAnimate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation (CVPR 2024 · 102 citations)
use cross-attention instead of AdaLN for audio conditioningHDTF/Celeb-V ablation evaluation · Sync-C1.374 -> 4.601HelpedHallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer (CVPR 2025 · 29 citations)
add a neural network rather than directly optimize control-point coordinatesAblation evaluation · sketch-to-video consistency0.926 ± 0.007 -> 0.965 ± 0.003HelpedBreathing Life Into Sketches Using Text-to-Video Priors (CVPR 2024 · 27 citations)
Add batch-overlapped temporal denoisingTest clips · FVD344.85 -> 139.82HelpedMake-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework (CVPR 2024 · 25 citations)
add masked temporal LoRA fine-tuningVBench · Temporal Smoothness74.27% -> 97.32%HelpedReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning (CVPR 2025 · 17 citations)
add control signalsNuScenes · ADE3.24 -> 3.07HelpedGEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control (CVPR 2025 · 16 citations)
Add global projection after CLIP rather than using the CLIP image embedding directlyStylized video generation · UMT-Score0.892 -> 2.337HelpedStyleMaster: Stylize Your Video with Artistic Generation and Translation (CVPR 2025 · 16 citations)
add WebVid-Motion data and the motion-augmented moduleRegional image animation benchmark · Text-Align0.3659 -> 0.7981HelpedFollow-Your-Click: Open-domain Regional Image Animation via Motion Prompts (AAAI 2025 · 15 citations)
Use the temporal consistency networkINSTA video dataset · warping error0.0006 -> 0.0003HelpedReal-time 3D-aware Portrait Video Relighting (CVPR 2024 · 14 citations)
add motion memory bankCross Reenactment · FVD361.94 -> 333.48HelpedHunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation (CVPR 2025 · 13 citations)
Use distinct camera and object LoRA weights instead of a shared motion controlCamera and object motion control · Motion separationHelpedImage Conductor: Precision Control for Interactive Video Synthesis (AAAI 2025 · 11 citations)

What reviewers will expect

Datasets and baselines named in the 50 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 · 10 of 50 papers
  • DAVIS · 8 of 50 papers
  • CelebV-HQ · 6 of 50 papers
  • VFHQ · 6 of 50 papers
  • WebVid-10M · 4 of 50 papers
  • UCF-101 · 4 of 50 papers
  • MSRVTT · 2 of 50 papers
  • RealEstate10K · 2 of 50 papers

Baselines

  • DynamiCrafter · 7 of 50 papers
  • AniPortrait · 7 of 50 papers
  • DragAnything · 6 of 50 papers
  • I2VGen-XL · 5 of 50 papers
  • LivePortrait · 5 of 50 papers
  • FollowYourEmoji · 5 of 50 papers
  • SVD · 4 of 50 papers
  • X-Portrait · 4 of 50 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 119 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 28 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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