Point Cloud Generation on ShapeNet Chair (test) benchmark leaderboard · SOTA2 Research

Point Cloud Generation on ShapeNet Chair (test)

94.51-NNA (CD)r-GAN

Evaluation Results

Method	Links
r-GAN2026.01		94.5	—	—	99	7,249	619
l-GAN/EMD2026.01		71.2	—	—	66.2	7,184	521
SPAGHETTI2026.01		70.7	—	—	69	5,930	582
DPC2026.01		68.9	—	—	80	335	50.6
l-GAN/CD2026.01		66.5	—	—	88.8	7,972	582
SoftFlow2026.01		64.8	—	—	60.1	5,628	420
DPF-Net2026.01		62.4	—	—	54.5	5,234	245
ShapeGF2026.01		61.8	—	—	57.2	1,100	101
SetVAE2026.01		59.9	—	—	59.9	5,320	673
PointFlow2026.01		58.1	—	—	56.3	7,290	530
SALAD2026.01		57.8	—	—	58.4	308	52.6
PVD2026.01		54.6	—	—	53.8	275	58.4
LION2026.01		53.4	—	—	51.1	201	55.2
DiT-3D2026.01		52.5	—	—	53.1	235	49
FrePolad2026.01		51.9	—	—	50.3	252	50.9
Quartet2026.01		51.6	—	—	53.7	28.9	2.86
Lumina-Next2024.06		—	12.975	48.33	—	—	—
PC-GAN2024.06		—	13.436	46.23	—	—	—
PDiffusion2024.06		—	12.276	48.94	—	—	—
PointFlow2024.06		—	13.631	41.86	—	—	—
ShapeGF2024.06		—	13.175	48.53	—	—	—
TreeGAN2024.06		—	14.936	38.02	—	—	—