This repository contains a collection of resources and papers on Conditional Content Generation. Especially for human motion generation, image generation and video generation. This repo is maintained by Haofan Wang.
我们正在组建非正式学术合作组织（远程），目前包含10余名在读或待入学Ph.D，方向为多模态与虚拟数字人，如果你对我们的方向感兴趣，希望与我们保持更广泛的学术合作，并且已经发表过至少一篇顶会论文，欢迎随时发邮件至haofanwang.ai@gmail.com。如果你目前在国内，且有兴趣实习（小红书-智能创作组），也欢迎联系。
- Papers List
- Tracking Papers on Diffusion Models
- Conditional Human Motion Generation
- Conditional Image Generation
- Conditional Video Generation
Music-Driven Group Choreography
AIOZ AI, CVPR'23
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Illinois Institute of Technology, ICLR'23, [Code]
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Tsinghua University, 7 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis
DAMO Academy, Alibaba Group, 6 Dec 2022
EDGE: Editable Dance Generation From Music
Stanford University, 19 Nov 2022
You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
MSRA, NeurIPS'22
GroupDancer: Music to Multi-People Dance Synthesis with Style Collaboration
Tsinghua University, ACMMM'22
A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres
Yonsei University, CVPR 2022, [Code]
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
NTU, CVPR 2022 (Oral), [Code]
Dance Style Transfer with Cross-modal Transformer
KTH, 22 Aug 2022, [Upcoming Code]
Music-driven Dance Regeneration with Controllable Key Pose Constraints
Tencent, 8 July 2022
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
USC, ICCV 2021, [Code]
TEMOS: Generating diverse human motions from textual descriptions
ENPC, CVPR'23
GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents
Peking University, CVPR'23
Human Motion Diffusion as a Generative Prior
Anonymous Authors, [Code]
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
Tencent AI Lab, 16 Jan 2023, [Code]
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Beihang University, 10 Jan 2023
Executing your Commands via Motion Diffusion in Latent Space
Tencent, 8 Dec 2022, [Code]
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels
Seoul National University, AAAI 2023 Oral, [Code]
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Max Planck Institute for Informatics, 8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Tencent PCG, 8 Dec 2022, [Upcoming Code]
UDE: A Unified Driving Engine for Human Motion Generation
Xiaobing Inc, 29 Nov 2022, [Upcoming Code]
MotionBERT: Unified Pretraining for Human Motion Analysis
SenseTime Research, 12 Oct 2022, [Code]
Human Motion Diffusion Model
Tel Aviv University, 3 Oct 2022, [Code]
FLAME: Free-form Language-based Motion Synthesis & Editing
Korea University, 1 Sep 2022
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
NTU, 22 Aug 2022, [Code]
TEMOS: Generating diverse human motions from textual descriptions
MPI, ECCV 2022 (Oral), [Code]
GIMO: Gaze-Informed Human Motion Prediction in Context
Stanford University, ECCV 2022, [Code]
MotionCLIP: Exposing Human Motion Generation to CLIP Space
Tel Aviv University, ECCV 2022, [Code]
Generating Diverse and Natural 3D Human Motions from Text
University of Alberta, CVPR 2022, [Code]
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
NTU, SIGGRAPH 2022, [Code]
Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents
University of Maryland,, VR 2021, [Code]
For more recent paper, you can find from here
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
NTU, CVPR'23, [Code]
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
Zhejiang University, ICLR'23, [Code]
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model
Macau University of Science and Technolog, 24 Jan 2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Tsinghua University, 10 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
University of Wrocław, 6 Jan 2023, [Incoming Code]
Generating Holistic 3D Human Motion from Speech
Max Planck Institute for Intelligent Systems, 8 Dev 2022
Audio-Driven Co-Speech Gesture Video Generation
NTU, 5 Dec 2022
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
KTH Royal Institute of Technology, 17 Nov 2022
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
York University, 23 Sep 2022, [Code]
BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis
The University of Tokyo, ECCV 2022, [Code]
EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model
Nanjing University, SIGGRAPH 2022, [Code]
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
The Chinese University of Hong Kong, CVPR 2022, [Code]
SEEG: Semantic Energized Co-speech Gesture Generation
Alibaba DAMO Academy, CVPR 2022, [Code]
FaceFormer: Speech-Driven 3D Facial Animation with Transformers
The University of Hong Kong, CVPR 2022, [Code]
Freeform Body Motion Generation from Speech
JD AI Research, 4 Mar 2022, [Code]
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Tencent AI Lab, ICCV 2021, [Code]
Learning Speech-driven 3D Conversational Gestures from Video
Max Planck Institute for Informatics, IVA 2021, [Code]
Learning Individual Styles of Conversational Gesture
UC Berkeley, CVPR 2019, [Code]
For more recent more, you can find from here
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
University of Barcelona, 25 Nov 2022, [Upcoming Code]
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
NAVER LABS, ECCV'2022, [Code]
NeMF: Neural Motion Fields for Kinematic Animation
Yale University, NeurIPS 2022 (Spotlight), [Code]
Multi-Person Extreme Motion Prediction
Inria University, CVPR 2022, [Code]
MotionMixer: MLP-based 3D Human Body Pose Forecasting
Mercedes-Benz, IJCAI 2022 (Oral), [Code]
Multi-Person 3D Motion Prediction with Multi-Range Transformers
UCSD, NeurIPS 2021
MIME: Human-Aware 3D Scene Generation
MPI
Scene Synthesis from Human Motion
Stanford University, SIGGRAPH Asia 2022, [Code]
TEACH: Temporal Action Compositions for 3D Humans
MPI, 3DV 2022, [Code]
Motion In-betweening via Two-stage Transformers
Zhejiang University, SIGGRAPH Asia 2022
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening
Shanghai Jiaotong University, ACMMM 2022, [Upcoming Code]
Conditional Motion In-betweening
Korea University, 6 Oct 2022, [Code]
SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised Skeleton Action Recognition
University of North Carolina, 1 Sep 2022
A Unified Framework for Real Time Motion Completion
NetEase Games AI Lab, AAAI 2022
Transformer based Motion In-betweening
National Institute of Technology - Tiruchirappalli, ACCV 2022 Workshop, [Code]
Generative Tweening: Long-term Inbetweening of 3D Human Motions
Adobe Research, 28 May 2020
For more recent paper, you can find from here
Adding Conditional Control to Text-to-Image Diffusion Models
Stanford, Feb 2023
SpaText: Spatio-Textual Representation for Controllable Image Generation
Meta AI (FAIR), 25 Nov 2022
Sketch-Guided Text-to-Image Diffusion Models
Google Research, 24 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
University of British Columbia, 23 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
University of Waterloo, 20 Nov 2022, [Upcoming Code]
InstructPix2Pix: Learning to Follow Image Editing Instructions
UC Berkeley, 17 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Google Research, 17 Nov 2022
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
University of Chinese Academy of Sciences, 11 Nov 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Google Research, 17 Oct 2022
Self-Guided Diffusion Models
University of Amsterdam, 12 Oct 2022
On Distillation of Guided Diffusion Models
Stanford University, NeurIPS 2022 Workshop, 6 Oct 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Google Research, 25 Aug 2022, [Code]
Prompt-to-Prompt Image Editing with Cross Attention Control
Google Research, 2 Aug 2022, [Code]
Improved Vector Quantized Diffusion Models
University of Science and Technology of China, 31 May 2022, [Code]
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Meta AI Research, 24 Mar 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Vidyasirimedhi Institute of Science and Technology, CVPR 2022 (Oral), [Code]
Vector Quantized Diffusion Model for Text-to-Image Synthesis
University of Science and Technology of China, CVPR 2022, [Code]
High-Resolution Image Synthesis with Latent Diffusion Models
Runway ML, CVPR 2022, [Code]
Text-To-4D Dynamic Scene Generation
Meta AI, 2023, [Code]
Structure and Content-Guided Video Synthesis with Diffusion Models
Runway, 6 Feb 2023
Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths
The Hong Kong University of Science and Technology, 23 Nov 2022, [Upcoming Code]
MagicVideo: Efficient Video Generation With Latent Diffusion Models
ByteDance Inc, 20 Nov 2022
Text2LIVE: Text-Driven Layered Image and Video Editing
NVIDIA Research, ECCV 2022 (Oral), [Code]
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
OpenAI, 16 Dec 2022
DreamFusion: Text-to-3D using 2D Diffusion
Google Research, 29 Sep 2022