https://github.com/sidsunny/pocoloco
공식 코드PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing
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.
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing
Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
From Sora What We Can See: A Survey of Text-to-Video Generation
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
FreeInit: Bridging Initialization Gap in Video Diffusion Models
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation
VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
TransPixeler: Advancing Text-to-Video Generation with Transparency
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
Contextualized Diffusion Models for Text-Guided Image and Video Generation
ControlVideo: Training-free Controllable Text-to-Video Generation
Latent Video Diffusion Models for High-Fidelity Long Video Generation
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
MotionCrafter: One-Shot Motion Customization of Diffusion Models
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs
GenAI Arena: An Open Evaluation Platform for Generative Models
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
VideoComposer: Compositional Video Synthesis with Motion Controllability
VideoComposer: Compositional Video Synthesis with Motion Controllability
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.