activity
20232026
most citedSD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer

1 citations · 1 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

13 papers · 1 filter

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…