1 citations · 1 across the 13 of their papers we have counts for
13 papers
RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation
Zhen Xiao, Zhen Shen, Zhaofan Qiu +3
Cross-identity character animation aims to drive a target identity from a reference image to follow the motion of a source character from a driving video. The core challenge lies i…
Region-Constraint In-Context Generation for Instructional Video Editing
Zhongwei Zhang, Fuchen Long, Wei Li +4
The In-context generation paradigm recently has demonstrated strong power in instructional image editing with both data efficiency and synthesis quality. Nevertheless, shaping such…
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
Jingyuan Chen, Fuchen Long, Jie An +4
The first-in-first-out (FIFO) video diffusion, built on a pre-trained text-to-video model, has recently emerged as an effective approach for tuning-free long video generation. This…
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation
Haibo Yang, Yang Chen, Yingwei Pan +5
Learning radiance fields (NeRF) with powerful 2D diffusion models has garnered popularity for text-to-3D generation. Nevertheless, the implicit 3D representations of NeRF lack expl…
Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models
Haibo Yang, Yang Chen, Yingwei Pan +4
Despite having tremendous progress in image-to-3D generation, existing methods still struggle to produce multi-view consistent images with high-resolution textures in detail, espec…
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process
Yang Luo, Yiheng Zhang, Zhaofan Qiu +4
The emergence of text-to-image generation models has led to the recognition that image enhancement, performed as post-processing, would significantly improve the visual quality of…
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
Zhongwei Zhang, Fuchen Long, Yingwei Pan +4
Recent advances in text-to-video generation have demonstrated the utility of powerful diffusion models. Nevertheless, the problem is not trivial when shaping diffusion models to an…
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
Rui Zhu, Yingwei Pan, Yehao Li +4
Diffusion Transformer (DiT) has emerged as the new trend of generative diffusion models on image generation. In view of extremely slow convergence in typical DiT, recent breakthrou…
VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation
Yang Chen, Yingwei Pan, Haibo Yang +2
Recent innovations on text-to-3D generation have featured Score Distillation Sampling (SDS), which enables the zero-shot learning of implicit 3D models (NeRF) by directly distillin…
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
Zhikai Chen, Fuchen Long, Zhaofan Qiu +4
Diffusion models are just at a tipping point for image super-resolution task. Nevertheless, it is not trivial to capitalize on diffusion models for video super-resolution which nec…
3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models
Haibo Yang, Yang Chen, Yingwei Pan +3
3D content creation via text-driven stylization has played a fundamental challenge to multimedia and graphics community. Recent advances of cross-modal foundation models (e.g., CLI…
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors
Jingwen Chen, Yingwei Pan, Ting Yao +1
Recently, the multimedia community has witnessed the rise of diffusion models trained on large-scale multi-modal data for visual content creation, particularly in the field of text…
Control3D: Towards Controllable Text-to-3D Generation
Yang Chen, Yingwei Pan, Yehao Li +2
Recent remarkable advances in large-scale text-to-image diffusion models have inspired a significant breakthrough in text-to-3D generation, pursuing 3D content creation solely from…