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20162026
most citedShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

51 citations · 164 across the 49 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

VisionQ: VLM-as-a-Judge Taxonomy, Dataset and Benchmark for Qualitative Analysis in Computer Vision

Vu Dinh Xuan, Duc-Hai Nguyen, Minh-Dung Dao +6

Qualitative comparison figures are central evidence in computer vision papers, and vision-language models (VLMs) are increasingly used to judge them. Yet existing benchmarks score…

cs.GR2026

Physically Based Rendering in the Latent Space

Vuk Radovanovic, Vishesh Gupta, Adrien Gruson +1

Image diffusion models have shown impressive image generation capabilities but are often hard to control, in contrast to classical computer graphics pipelines such as physically ba…

cs.CV2026

Evaluating Mesh Reconstruction Methods for Crop Phenotyping

Karanvir Singh, Theo Morales, Binh-Son Hua +1

Phenotyping an agricultural crop is crucial for studying its entire life cycle, as it provides vital insights to improve yield and, ultimately, food production. Doing the same for…

cs.CV2026

TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates

Theo Morales, Nhat-Quynh Le-Pham, Robin Atkins +1

3D Gaussian Splatting has become a de facto scene representation for novel view synthesis, yet robustly learning 3D Gaussian primitives from visual input remains challenging. Stand…

cs.CV2026

Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation

Long Vu, Tan Ngo, Animesh Karnewar +5

Modern image-and-text-to-video diffusion models can synthesize highly realistic videos by iteratively denoising an initial Gaussian noise tensor conditioned on reference image and…

cs.CV2026

SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representation

Phuc Pham, Uy Dieu Tran, Binh-Son Hua +1

Realistic and efficient 3D garment generation remains a longstanding challenge in computer vision and digital fashion. Existing methods typically rely on large vision- language mod…