https://github.com/CandleLabAI/MotionAura-ICLR-2025
공식 코드MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Ma grand-mère m’a raconté que quand elle était étudiante, elle avait un petit-ami. À l’âge de 18 ans, il a dû partir pour le service militaire, elle ne l’a pas attendu et elle a épousé quelqu’un d’autre. Quand ma grand-mère avait 58-59 ans, un homme (son premier amour) lui a envoyé une demande d’amis sur un réseau social, ils ont commencé à parler... En moins de six mois, ils ont décidé de se voir. Le trajet en train a duré deux jours et ils se sont finalement rencontrés. Cela fait maintenant deux ans qu’ils habitent ensemble et qu’ils nous rendent visite de temps en temps. Je réalise maintenant que leur amour l’un envers l’autre n’a jamais cessé.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
StableAnimator: High-Quality Identity-Preserving Human Image Animation
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
Identity-Preserving Text-to-Video Generation by Frequency Decomposition
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures
VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control
Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
DanceCamAnimator: Keyframe-Based Controllable 3D Dance Camera Synthesis
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
Magic 1-For-1: Generating One Minute Video Clips within One Minute
Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
Magic Mirror: ID-Preserved Video Generation in Video Diffusion Transformers
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices
FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation
CameraCtrl: Enabling Camera Control for Text-to-Video Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.