CatPortrait: Taming Video Generative Models for Portrait Animation via In-context Conditioning
cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Terminology
Sources
- VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning
- CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
- Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
- Video Diffusion Transformers are In-Context Learners
- Dual Audio-Centric Modality Coupling for Talking Head Generation
- EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
- FullDiT: Multi-Task Video Generative Foundation Model with Full Attention
- HunyuanVideo: A Systematic Framework For Large Video Generative Models
- Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation
- Reward-Aware Trajectory Shaping for Few-step Visual Generation
- Rethinking Reward Signals in Video GRPO: When Scores Become Targets
- AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models
- TeleBoost: A Systematic Alignment Framework for High-Fidelity, Controllable, and Robust Video Generation
- Flow Matching for Generative Modeling
- DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks
- SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis
- DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
- Human Motion Diffusion Model
- Wan: Open and Advanced Large-Scale Video Generative Models
- AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models