DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
On the map: Diffusion models → 3D, point cloud and scene generation
Abstract (arXiv)
We present DreamPose, a diffusion-based method for generating animated fashion videos from still images. Given an image and a sequence of human body poses, our method synthesizes a video containing both human and fabric motion. To achieve this, we transform a pretrained text-to-image model (Stable Diffusion) into a pose-and-image guided video synthesis model, using a novel fine-tuning strategy, a set of architectural changes to support the added conditioning signals, and techniques to encourage temporal consistency. We fine-tune on a collection of fashion videos from the UBC Fashion dataset. We evaluate our method on a variety of clothing styles and poses, and demonstrate that our method produces state-of-the-art results on fashion video animation.Video results are available on our project page.
Key facts. Cited by 167 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 49 of its 59 references that are in the map. First posted on arXiv 12 Apr 2023.
Builds on
49 of 59 references.
Closest ancestors · 4
Same direction, newest first
- 2023DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models14 Feb
- 2022Person Image Synthesis via Denoising Diffusion Model22 Nov
- 2022Novel View Synthesis with Diffusion Models6 Oct
- 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep
Other references · 45
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
- 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
- 2022Classifier-Free Diffusion Guidancecited by 5,717
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
- 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
- 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
- 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
- 2022Video Diffusion Modelscited by 2,280
33 more
- 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,765
- 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
- 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,204
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2022Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generationcited by 958
- 2020First Order Motion Model for Image Animationcited by 698
- 2022Pseudo Numerical Methods for Diffusion Models on Manifoldscited by 695
- 2018DensePose: Dense Human Pose Estimation In The Wildcited by 573
- 2023Universal Guidance for Diffusion Modelscited by 426
- 2022Flexible Diffusion Modeling of Long Videoscited by 294
- 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
- 2021Motion Representations for Articulated Animationcited by 253
- 2022Diffusion Probabilistic Modeling for Video Generationcited by 237
- 2019Depth-Aware Video Frame Interpolationcited by 232
- 2022Thin-Plate Spline Motion Model for Image Animationcited by 209
- 2018Animating Arbitrary Objects via Deep Motion Transfercited by 206
- 2023Text-To-4D Dynamic Scene Generationcited by 204
- 2023Dreamix: Video Diffusion Models are General Video Editorscited by 189
- 2022Latent Image Animator: Learning to Animate Images via Latent Space Navigationcited by 172
- 2022FILM: Frame Interpolation for Large Motioncited by 149
- 2019Progressive Pose Attention Transfer for Person Image Generationcited by 138
- 2019DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Imagescited by 132
- 2019DwNet: Dense warp-based network for pose-guided human video generationcited by 114
- 2022EVA3D: Compositional 3D Human Generation from 2D Image Collectionscited by 111
- 2020Deep Image Spatial Transformation for Person Image Generationcited by 100
- 2021PISE: Person Image Synthesis and Editing with Decoupled GANcited by 62
- 2018Photo Wake-Up: 3D Character Animation from a Single Photocited by 60
- 2020Animating Pictures with Eulerian Motion Fieldscited by 54
- 2021Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editingcited by 54
- 2022DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Modelscited by 50
- 2021Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGANcited by 45
- 2022Implicit Warping for Animation with Image Setscited by 45
- 2022DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generationcited by 24
Built on by
Citing papers per year: 2023: 21; 2024: 76; 2025: 52; 2026: 18.
167 papers.
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