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20232026
most citedHumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

Shiqin Wang, Haoyang Chen, Huaizhou Huang +6

The learning order of semantic classes significantly impacts unsupervised domain adaptation for semantic segmentation, especially under adverse weather conditions. Most existing cu…

cs.CV2025

Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer

Zhimin Zhang, Bi'an Du, Caoyuan Ma +2

Animal motion embodies species-specific behavioral habits, making the transfer of motion across categories a critical yet complex task for applications in animation and virtual rea…

cs.CV2025

Subjective Camera 1.0: Bridging Human Cognition and Visual Reconstruction through Sequence-Aware Sketch-Guided Diffusion

Haoyang Chen, Dongfang Sun, Caoyuan Ma +4

We introduce the concept of a subjective camera to reconstruct meaningful moments that physical cameras fail to capture. We propose Subjective Camera 1.0, a framework for reconstru…

cs.RO2025

Leader and Follower: Interactive Motion Generation under Trajectory Constraints

Runqi Wang, Caoyuan Ma, Jian Zhao +6

With the rapid advancement of game and film production, generating interactive motion from texts has garnered significant attention due to its potential to revolutionize content cr…

cs.CV2024

You Think, You ACT: The New Task of Arbitrary Text to Motion Generation

Runqi Wang, Caoyuan Ma, Guopeng Li +3

Text to Motion aims to generate human motions from texts. Existing settings rely on limited Action Texts that include action labels, which limits flexibility and practicability in…

cs.CV2023★ 1 cited

HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses

Caoyuan Ma, Yu-Lun Liu, Zhixiang Wang +3

We present HumanNeRF-SE, a simple yet effective method that synthesizes diverse novel pose images with simple input. Previous HumanNeRF works require a large number of optimizable…