activity
20212026
most citedDual Contrastive Learning for Unsupervised Image-to-Image Translation

15 citations · 58 across the 22 of their papers we have counts for

collaborators

23 papers

cs.CV2026

PartiCam: Camera Controlled Video Generation with Reward Guidance

Amine Ouasfi, Runjia Li, Junlin Han +3

We present PartiCam, a training-free Particle filtering rooted method for improved Camera controlled video generation. Generating videos that follow a precisely specified camera tr…

cs.CV2026

AnimalLift: Reconstructing Animatable 3D Animals from a Single Image by Learning Canonical Shape, Texture, and Fur Maps

Chunyi Sun, Ruyi Zha, Weijian Deng +3

Reconstructing a fully animatable 3D animal from a single image remains challenging because animation-ready assets require not only plausible geometry, but also a unified topology,…

cs.CV2026

Automatic Red Teaming for Implicit Vulnerabilities of Text-to-Image Models

Chang Ma, Junlin Han, Shuo Chen +3

Red-teaming Text-to-Image (T2I) models is essential for safe deployment, yet it remains particularly challenging against implicit adversarial prompts. Unlike explicit adversarial p…

cs.CV2025

VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models

Yufan Ren, Konstantinos Tertikas, Shalini Maiti +4

Large Vision-Language Models (LVLMs) struggle with puzzles, which require precise perception, rule comprehension, and logical reasoning. Assessing and enhancing their performance i…

cs.CV2025

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model

Zhaochong An, Guolei Sun, Yun Liu +4

Generalized few-shot 3D point cloud segmentation (GFS-PCS) adapts models to new classes with few support samples while retaining base class segmentation. Existing GFS-PCS methods e…

cs.CV2024

Semantic Score Distillation Sampling for Compositional Text-to-3D Generation

Ling Yang, Zixiang Zhang, Junlin Han +4

Generating high-quality 3D assets from textual descriptions remains a pivotal challenge in computer graphics and vision research. Due to the scarcity of 3D data, state-of-the-art a…